{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 42: Higher L-Moments OWA Portfolio Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-10-19</th>\n",
       "      <td>0.0475%</td>\n",
       "      <td>-0.8599%</td>\n",
       "      <td>-1.4332%</td>\n",
       "      <td>-3.0011%</td>\n",
       "      <td>0.1113%</td>\n",
       "      <td>1.2968%</td>\n",
       "      <td>3.4360%</td>\n",
       "      <td>-0.8763%</td>\n",
       "      <td>0.2945%</td>\n",
       "      <td>-0.7834%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6339%</td>\n",
       "      <td>-0.1823%</td>\n",
       "      <td>0.9185%</td>\n",
       "      <td>-0.7728%</td>\n",
       "      <td>1.1385%</td>\n",
       "      <td>-1.6075%</td>\n",
       "      <td>-1.1144%</td>\n",
       "      <td>-1.2872%</td>\n",
       "      <td>0.4574%</td>\n",
       "      <td>-0.8025%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-22</th>\n",
       "      <td>-1.9240%</td>\n",
       "      <td>-0.0786%</td>\n",
       "      <td>-0.6335%</td>\n",
       "      <td>-6.2983%</td>\n",
       "      <td>-0.6393%</td>\n",
       "      <td>-1.1024%</td>\n",
       "      <td>0.0528%</td>\n",
       "      <td>-0.3221%</td>\n",
       "      <td>1.1326%</td>\n",
       "      <td>-0.8199%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.8662%</td>\n",
       "      <td>0.4483%</td>\n",
       "      <td>-1.6953%</td>\n",
       "      <td>-2.8972%</td>\n",
       "      <td>-0.6085%</td>\n",
       "      <td>1.4753%</td>\n",
       "      <td>-0.6075%</td>\n",
       "      <td>-0.8634%</td>\n",
       "      <td>0.1457%</td>\n",
       "      <td>-3.4490%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-23</th>\n",
       "      <td>-3.6571%</td>\n",
       "      <td>-1.6658%</td>\n",
       "      <td>-0.4202%</td>\n",
       "      <td>-0.4521%</td>\n",
       "      <td>-0.2797%</td>\n",
       "      <td>-0.5034%</td>\n",
       "      <td>0.1845%</td>\n",
       "      <td>-3.9948%</td>\n",
       "      <td>-0.7051%</td>\n",
       "      <td>-0.2449%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4766%</td>\n",
       "      <td>-5.1240%</td>\n",
       "      <td>0.5342%</td>\n",
       "      <td>-0.0321%</td>\n",
       "      <td>1.0713%</td>\n",
       "      <td>-0.6729%</td>\n",
       "      <td>-1.0807%</td>\n",
       "      <td>-1.8308%</td>\n",
       "      <td>4.0560%</td>\n",
       "      <td>4.0353%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-24</th>\n",
       "      <td>-4.5500%</td>\n",
       "      <td>1.3141%</td>\n",
       "      <td>-1.8042%</td>\n",
       "      <td>-3.5933%</td>\n",
       "      <td>-4.2917%</td>\n",
       "      <td>0.8674%</td>\n",
       "      <td>0.9995%</td>\n",
       "      <td>-4.1109%</td>\n",
       "      <td>-3.6759%</td>\n",
       "      <td>-3.7139%</td>\n",
       "      <td>...</td>\n",
       "      <td>3.5178%</td>\n",
       "      <td>-4.2683%</td>\n",
       "      <td>1.5636%</td>\n",
       "      <td>-1.3479%</td>\n",
       "      <td>-8.0557%</td>\n",
       "      <td>-0.4838%</td>\n",
       "      <td>-1.2403%</td>\n",
       "      <td>-4.2187%</td>\n",
       "      <td>0.3671%</td>\n",
       "      <td>-3.3065%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-25</th>\n",
       "      <td>0.4741%</td>\n",
       "      <td>2.5715%</td>\n",
       "      <td>0.5186%</td>\n",
       "      <td>0.7782%</td>\n",
       "      <td>5.0410%</td>\n",
       "      <td>-0.5733%</td>\n",
       "      <td>-1.1719%</td>\n",
       "      <td>2.1585%</td>\n",
       "      <td>3.1657%</td>\n",
       "      <td>2.3271%</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.0309%</td>\n",
       "      <td>0.4914%</td>\n",
       "      <td>0.5082%</td>\n",
       "      <td>0.9109%</td>\n",
       "      <td>-1.2516%</td>\n",
       "      <td>1.8962%</td>\n",
       "      <td>4.3661%</td>\n",
       "      <td>1.3800%</td>\n",
       "      <td>-1.7241%</td>\n",
       "      <td>3.3538%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                        \n",
       "2018-10-19  0.0475% -0.8599% -1.4332% -3.0011%  0.1113%  1.2968%  3.4360%   \n",
       "2018-10-22 -1.9240% -0.0786% -0.6335% -6.2983% -0.6393% -1.1024%  0.0528%   \n",
       "2018-10-23 -3.6571% -1.6658% -0.4202% -0.4521% -0.2797% -0.5034%  0.1845%   \n",
       "2018-10-24 -4.5500%  1.3141% -1.8042% -3.5933% -4.2917%  0.8674%  0.9995%   \n",
       "2018-10-25  0.4741%  2.5715%  0.5186%  0.7782%  5.0410% -0.5733% -1.1719%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2018-10-19 -0.8763%  0.2945% -0.7834%  ...  0.6339% -0.1823%  0.9185%   \n",
       "2018-10-22 -0.3221%  1.1326% -0.8199%  ... -0.8662%  0.4483% -1.6953%   \n",
       "2018-10-23 -3.9948% -0.7051% -0.2449%  ...  0.4766% -5.1240%  0.5342%   \n",
       "2018-10-24 -4.1109% -3.6759% -3.7139%  ...  3.5178% -4.2683%  1.5636%   \n",
       "2018-10-25  2.1585%  3.1657%  2.3271%  ... -1.0309%  0.4914%  0.5082%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2018-10-19 -0.7728%  1.1385% -1.6075% -1.1144% -1.2872%  0.4574% -0.8025%  \n",
       "2018-10-22 -2.8972% -0.6085%  1.4753% -0.6075% -0.8634%  0.1457% -3.4490%  \n",
       "2018-10-23 -0.0321%  1.0713% -0.6729% -1.0807% -1.8308%  4.0560%  4.0353%  \n",
       "2018-10-24 -1.3479% -8.0557% -0.4838% -1.2403% -4.2187%  0.3671% -3.3065%  \n",
       "2018-10-25  0.9109% -1.2516%  1.8962%  4.3661%  1.3800% -1.7241%  3.3538%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].iloc[-300:,:].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Higher L-Moments OWA Portfolios\n",
    "\n",
    "The OWA portfolio model proposed by __[Cajas (2021)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3988927)__ . This model gives an alternative formulation to risk measures that can be expressed using the OWA operator. The Higher L-Moments portfolio is a special case of the OWA portfolio where the weights are determined following  __[Cajas (2023)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4393155)__.\n",
    "\n",
    "It is recommended to use MOSEK to optimize OWA portfolios, due to it requires more computing power for the number of constraints and variables the model use.\n",
    "\n",
    "Instructions to install MOSEK are in this __[link](https://docs.mosek.com/9.2/install/installation.html)__, is better to install using Anaconda. Also you will need a license, I recommend you that ask for an academic license __[here](https://www.mosek.com/products/academic-licenses/)__.\n",
    "\n",
    "### 2.1 Calculating the portfolio that minimize a risk measure that includes Higher L-Moments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.8357%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.1980%</td>\n",
       "      <td>4.5863%</td>\n",
       "      <td>9.2647%</td>\n",
       "      <td>2.7554%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.1448%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.2624%</td>\n",
       "      <td>0.0003%</td>\n",
       "      <td>20.0063%</td>\n",
       "      <td>3.7235%</td>\n",
       "      <td>3.3774%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>15.6515%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 3.8357% 0.0000% 3.1980% 4.5863% 9.2647% 2.7554% 0.0000%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR      PSA     SEE       T  \\\n",
       "weights 0.0000% 7.1448%  ... 13.2624% 0.0003% 20.0063% 3.7235% 3.3774%   \n",
       "\n",
       "            TGT     TMO     TXT       VZ    ZION  \n",
       "weights 0.0000% 0.0000% 0.0000% 15.6515% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "import mosek\n",
    "\n",
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu,\n",
    "                  method_cov=method_cov)\n",
    "\n",
    "# Estimate optimal portfolios:\n",
    "\n",
    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing GMD\n",
    "port.sol_params = {'MOSEK': {'mosek_params': {mosek.iparam.num_threads: 2}}}\n",
    "\n",
    "obj = 'MinRisk' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "owa_w = rp.owa_l_moment_crm(len(Y), k=4)\n",
    "\n",
    "w = port.owa_optimization(obj=obj,\n",
    "                          owa_w=owa_w,\n",
    "                          rf=rf,\n",
    "                          l=l)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qiX4nNm7cmOD3oWvXrixYsIB+/fpx4MABzp8/z4ULF8iVK1eC34d58+Yxbtw4duzYQb169bC2tqZ169aJRnhPif++N97lHjNmTKLcX331FZD4s0AIIUTWYqB2ACFE1uDm5saECRNYvHhxktdBZ2Q2NjaJBpiCt9dlfypbW1vKli2b5PORN2/eBD+n5pzEEydOZOjQofE/v2/qtk/xrrD19fVNdN/z58/R09PDysoqVY5la2uLiYlJkq27/+6VkBby5MmDs7MzBw8eJDw8/L3XdXt6evLixQs6dOiQYHm9evXYtm0b586d4+TJk0ydOjX+PldXVwICArh06RJnz56lTZs28fe9G4QQ/r/F+b/Wr18fX6x9SOHCheMHT3NxccHExIQffviB+fPnM2bMmA9u++WXX/Lll18SFRXF2bNnmTp1Kl27dsXR0ZEaNWrErzd79mw2btxIs2bN2L59O40bN/5orv+qVasWTk5O/PzzzzRq1CjBCYx/e/d6b9myBQcHhyT3FxISwu7du/npp5/49ttv45dHRUURFBSUYF0zMzMmTZrEpEmTePHiRXyrd8uWLblz5w7wthdLSEhIouMkVSj/9338Lvf48eMTzcX+zrteEEIIIbImKbqFEKkiX758fPPNN9y5c4devXqpHSfFXF1d2bt3LwEBAfFfkuPi4ti8efMn77NFixbs3buXIkWKpFohmlyOjo6JRqRODU5OTuTLl4/169czZsyY+AIjLCyMrVu3xo9onhpatGjBlClTsLGxoVChQqmyz5T2nvj+++/p2rUrY8aMYeHChQnuCwsLY/jw4ZiamvL1118nuO9dd/HZs2cTEhKSYPRrZ2dnbGxsmDp1KpGRkQm6lq9fv56IiAh++eUXateunSjPu67YySm6/2vs2LGsXLmSadOmMXDgwGSdiDEyMsLV1ZWcOXNy4MABrly5kqDoNjY2Ztu2bXTv3p1WrVqxceNGvvzyyxRn++GHH9iyZQtDhgxJcp0mTZpgYGDAgwcPaNeuXZLraTQaFEVJ1PL+559/JrrM4t/s7e1xc3Pj2rVrzJkzJ/5Ei6OjI5s3byYqKip+n4GBgZw5cyZZc4k7OTlRrFgxrl27xpQpUz66vlCPo6Njml+OkpU4ODi8d2YPIURiUnQLIVLNtGnT1I7wyb7//nt27dpFgwYN+P777zExMWHx4sXxU1P9+/rl5Pr55585dOgQNWvWZPjw4Tg5OREZGcnjx4/Zu3cvixcv/qy5wv38/NiyZUui5Y6OjvEtnKlNT0+P6dOn061bN1q0aMHAgQOJiopixowZBAcHp+rvwMiRI9m6dSsuLi58/fXXlC1blri4OHx8fDh48CCjR4+mWrVqKdpnmTJlAJg7dy69evVCq9Xi5OSUZAHapUsXLl++zMyZM3n8+DF9+vTB3t4eb29vZs+ezYMHD1i/fj2FCxdOsJ2zszN2dnZs376dXLlyxV8bD2+LQhcXF7Zv3w4kvJ57+fLlWFlZMWbMmPdeFtGzZ09mzZrFtWvXKFeuXIoeu1arZcqUKXTs2JG5c+fyww8/vHe9CRMm8PTpUxo0aED+/PkJDg5m7ty5aLXaBN3k/73fDRs20K9fP9q3b8/q1avjpxJMru7du390pgJHR0d+/vlnvv/+ex4+fEjTpk2xsrLixYsXnD9/Pr7VOkeOHLi4uDBjxgxsbW1xdHTk+PHjLF++PNH17NWqVaNFixaULVsWKysrvLy8WLNmTYKTRz169GDJkiV0796d/v37ExgYyPTp05NVcL+zZMkSmjVrRpMmTXBzcyNfvnwEBQXh5eXF5cuXP+vknkg9T548+awZArKb1OydJURWJ0W3EELw9nrwQ4cOMWbMGHr27ImVlRU9evTA1dWVcePGJTln8IfkyZOHixcv8ssvvzBjxgyePn2KhYUFhQoVii8YPselS5cSdWsG6NWrV5pOQ9S1a1fMzMyYOnUqnTp1Ql9fn+rVq3Ps2DFq1qyZascxMzPj5MmTTJs2jaVLl/Lo0SNMTEwoWLAgDRs2/KSW/Lp16zJ+/HhWrVrFsmXLiIuL49ixY++dh/mdGTNmUL9+fRYsWMCgQYN4/fo1dnZ21K9fn82bN1OqVKkkj7Vp06b3Fqqurq5s376dfPnyUbRoUeDttHWXLl1i5MiRSY5DMGDAAGbNmsXy5cuZN29eih9/hw4dqFatGrNmzWLYsGHv/b2uVq0aFy9eZNy4cbx8+ZKcOXNSuXJljh49mmAu8X/T09Nj+fLlWFhY0L17d8LCwujXr1+K833M+PHjKVWqFHPnzmXDhg1ERUWRO3duqlSpwqBBg+LXW79+PSNGjGDs2LHExMRQq1YtDh06RPPmzRPsr379+uzcuZPZs2cTHh5Ovnz56NmzJ99//338OrVq1WLVqlVMmzaNL7/8ksKFC/PTTz+xd+/eD87x/m/16tXj/PnzTJ48mZEjR/Lq1StsbGwoVapUkoM1CiGEyDo0ipzSE0KIJDVu3JjHjx9z9+5dtaMIIYRIQ+8uTRDJI8+XEMknLd1CCPE/o0aNokKFChQoUICgoCDWrVvHoUOH4keTFkIIIYQQIqWk6BZCiP+JjY1lwoQJ+Pn5odFoKFWqFGvWrPnotaZCCCGEEEIkRebpFkKI/5k7dy6PHj0iIiKC8PBwLl68KAW3EEJkUy1btqRhw4bvvc/T0xONRsPly5epW7cuGo0mydvx48ffu4/IyEjc3NwoU6YMBgYGtG7dOtE6Hh4e793nuynt3mflypVJZvH39wfg8ePHuLi4YG5ujqura6JR25s3bx4/faEQ4vNJ0S2EEEIIIcR/9O3bl6NHj753GjF3d3fKly9PxYoV2bZtG76+vgluT548oXTp0lSuXDnJWRZiY2MxMTFh+PDhSRb373h7eyfYf7FixZJct1OnTonyNGnSBFdXV+zs7AAYPXo0+fLl48qVK+TOnZsxY8bEb//XX3+hr6//wan5hBApI93LhRBCCCGE+I8WLVpgZ2fHypUr+emnn+KXh4eHs3Hjxvh5162trRNt279/f16+fMnFixeTnI3AzMyMRYsWAXD69GmCg4OTzGJnZ5doyrukmJiYYGJiEv/zy5cvOXr0aILxSby8vJg1axbFihXDzc0tvugODg7mhx9+4OjRo8k6lhAieaSlWwghhBBCiP8wMDCgZ8+erFy5MsEo3Zs3byY6Oppu3bq9d7uFCxeyevVqtm3bRv78+VMlS4UKFciTJw8NGjTg2LFjKdp29erVmJqa0r59+/hl5cqV4/Dhw8TFxXHw4EHKli0LwJgxYxg6dCgFCxZMldxCiLekpVsIIYRIoaioKE6dOkVsbKzaUYQQn6FGjRpYWFgkeX+fPn2YMWMGHh4e1KtXD3jbtbxt27ZYWVklWv/EiROMHDmShQsXUrNmzc/OlydPHpYuXUqlSpWIiopizZo1NGjQAA8PD1xcXJK1D3d3d7p27Zqg9XvmzJkMHDgQR0dHypYty5IlSzhx4gTXrl1j+vTpdOzYkYsXL9K4cWPmzZuHoaHhZz8WIbIzmadbCCGESKFly5YxYMAAtWMIIT7Tzz//zI8//ggkPe90rVq1KFy4MGvWrOHBgwcUK1aMgwcPJroO28fHh8qVK9OxY0cWLFiQohxubm4EBwezY8eOj67bsmVLNBoNO3fu/Oi6np6e1KxZk4sXL1KpUqUk14uKiqJSpUqsXr2atWvXEhISwuLFi2natCmtW7dm2LBhibaRebqFSD5p6RZCCCFS6OnTp+TOnZtz586pHUUI8RmS0/27b9++DB06lD/++IMVK1bg4OBAgwYNEqwTERFBmzZtcHZ2Zs6cOWmU9q3q1auzdu3aZK37559/Ur58+Q8W3ACTJ0+mcePGVKxYkX79+vHrr7+i1Wpp27YtR48efW/RLYRIPim6hRBCiBTy9/cnd+7cct2jENlAx44dGTFiBOvXr2fVqlX0798fjUaTYJ1+/foRFBTEgQMHMDBI26/XV65cIU+ePB9dLzQ0lE2bNjF16tQPrufl5cWGDRu4cuUK8HZUdZ1OB4BOp5PLaIRIBVJ0CyGEECn08uXL+Kl3hBBZm7m5OZ06deK7774jJCQENze3BPfPmDGDzZs3s2vXLmJiYvDz80twv6WlZYLrqf/t9u3bREdHExQUxJs3b7h69SoA5cuXB2DOnDk4Ojri7OxMdHQ0a9euZevWrQnm0N6+fTvjx49PNHf3xo0biYmJSXLANwBFURgwYACzZ8/G3NwceNudftmyZRQvXpzVq1fTpUuX5DxNQogPkKJbCCGESCF/f39p5RYiG+nbty/Lly+ncePGid77CxcuRKfT0bRp0/duu2LFikSF+jtffPFFgnnAK1SoABB/rXR0dDRjxozh2bNnmJiY4OzszJ49e/jiiy/itwkJCcHb2zvRvpcvX57kgG/vLF26FHt7e1q0aBG/bOLEiXTt2pVq1arRtGlThgwZkuT2QojkkYHUhBBCiBQqWbIkzZo1Y9asWWpHEUKkEhkYLGXk+RIi+WSebiGEECKF/P39yZUrl9oxhBBCCJEJSNEthBBCpEBMTAxBQUFyTbcQQgghkkWKbiGEECIFAgICAKSlWwghhBDJIkW3EEIIkQIvX74EkJZuIYQQQiSLFN1CCCFECvj7+wPS0i2EEEKI5JGiWwghhEgBaekWQgghRErIPN1CCCFECvj7+2NsbIy5ubnaUYQQqcjBwQGNRqN2jEzDwcFB7QhCZBpSdAshhBAp8PLlS3LlyiVfzoXIYh4/fqx2BCFEFiXdy4UQQogU8Pf3l67lQgghhEg2KbqFEEKIFHjX0i2EEEIIkRxSdAshhBApIC3dQgghhEgJKbqFEEKIFJCWbiGEEEKkhBTdQgghRApIS7cQQgghUkKKbiGEECKZoqOjCQ4OlpZuIYQQQiSbFN1CCCFEMgUEBABIS7cQQgghkk2KbiGEECKZXr58CSAt3UIIIYRINim6hRBCiGSytrbG2dmZYsWKqR1FCCGEEJmERlEURe0QQgghxPvExsYSHh6e4ltkZCRarRatVouhoWH8v8n9f86cObGxscHa2hoDAwO1nwYhhBBCZGLyTUIIIUS6iouLIzAwEF9fX54/f57o9vTZM3x9/Qh46U90dHSy9qmnp4exiSlGxqYYGZugNTQkNiaGmBgdsTE6dDodMbpoYnQ6dLpoUnK+OYelJdbWNtjYWGNjbYOdXS5y586d4JYnTx5y586NlZUVGo3mU58aIYQQQmRB0tIthBAiVUVFRXH37l28vLx48OBBfDH97Nlznj1/zgs/X3Q6XYJtrKxzYWVrR04be6xsc2Nta08OKxuMTcwwMjbByOhtMW1kbILh//41MjLB2MQUQ2MTDAy0KSp2Y2NjidFFExsbE1+Mx8REExMTgy4qirDQEN6EvOJNyCtCX7/izet3/w/m9asAQl695FWgP+FhoQn2a2hoSIGCDjg5Fad4sWIUL16cYv/7N3/+/OjpyVVdQgghRHYjRbcQQohPEh4ejre3N7dv346/3bx1m0cPHxAbGwtADksrrHPlxso2N1Y29v/7v338/61t7bG0zoVWa6jyo/k0kRFhBAe+LcCDg/x5FfCCF8998P3nIX5PH+L77AmxMTEAGBsbU7hIUZyKJyzGixUrhr29vbSQCyGEEFmUFN1CCCE+6PXr13h5eeHl5cXt27e5des2t27fxufJ4/hu2rns85LPsTj5HYtToNDbf/M7FsPC0krl9OqKjYnB3/cfnv/zAN9/HvHc5wG+Tx/h989D/P2exj9/5hYWFCtajPLly1GlShWqVq1KmTJlMDTMnCcjhBBCCPH/pOgWQggRLy4uDi8vL86cOcOZM2c4dfoM9+/djb8/dz4H8jkWo4BjcfL/q7g2NbNQMXXmFB0Vid+zxzz3eYjv04c8f/KAx/du8vj+bWJjYzEyMqJ8+QpUq1Y1vhAvWrSodFEXQgghMhkpuoUQIhsLDQ3l/PnzbwvsU6c5e+4sIcHB6OnpUaiYM8VLV6aYc0UKFHYiX8EiGJuYqR05y4uKjODxvVvcu32Fe7ev8MDrCs//eQSAZc6cVKlcJUEhnidPHpUTCyGEEOJDpOgWQohsQlEUnjx5Et+Kffr0Ga5fv0ZcXBzmFpYUL10JpzJVKFGmCkVLVcDEVArsjOJNyCse3LnGvdtXuH/7Cve9rvIq0B+AfPnyU61aVerWrUvjxo0pXry4XB8uhBBCZCBSdAshRBb27Nkz9u7dy8GDBzl16jR+fr4A5HMoQvHSlSlRpgpOZSqT37G4dFvORBRFIdD/eXxr+L1bl/G+eZEYnY6CBR1o0qQxjRs3pkGDBlhZZe/r6oUQQgi1SdEthBBZSGxsLOfPn2fPnj3s3r2Ha9euoqenR3HnipQsXx2nMlVwKl0JSytbtaOKVBYRHsatK2e4dv4418558PTJffT09KhSpSpNmjSmSZMmVK1aFQMDA7WjCiGEENmKFN1CCJHJBQUFcfDgQfbs2cO+ffsJDAwgh6UV5arVo1LNhlSoXhcLS2u1Y4p05u/7D9cunODq2WPcuHiS0Dch5LC0pGGDBjRu/LYlvFChQmrHFEIIIbI8KbqFECKTURSFmzdvxrdme3qeIS4ujkLFnalYoyGVajakmHNF9PX11Y4qMojY2Fge3LnG1XMeXDvvwd2bl4iNjaVo0WI0a9aUDh06UKtWLbnEQAghhEgDUnQLIUQmEBMTw+HDh/n777/Zs2cv//zjg7GJKWUq16FSzYZUrNkAW7u8ascUmURY6GtuXjrN1XPHuHzmMC9fPCdv3nx07tyJTp06UaVKFRmMTQghhEglUnQLIUQGpSgKly9fZs2aNaxfv4GXL/3Jk9+RijUbUrFGA5wr1MDQyFjtmCKTi4uLw/vGBU4d/hvPo7sIDnqJo2MhOnfuROfOnSlbtqwU4EIIIcRnkKJbCCEymMePH7Nu3TrWrFmLt/cdrGzsqN2oDa5N21OoeGkpgESaiY2N5fYVT04d3sE5jz28DnmFk1OJ+AK8RIkSakcUQgghMh0puoUQIgN49eoVmzdvZs2atZw6dRJjE1OquX6Ba9P2lKlUG30ZcVqks5gYHdcvnODUoR2cP7GP8LBQypYtF98FvXDhwmpHFEIIITIFKbqFEEIlUVFR7N27lzVr17Jn925iYmIoV9UVlybtqOrSDBNTM7UjCgFAdFQkV84e4/ThHVw8fYjIiHCqVKlK37596NatG+bm5mpHFEIIITIsKbqFECIdKYqCp6cnq1evZuPGTQQHv6JIibK4NG5H7cZtsLKxUzuiEB8UGRHGxdOHOHlgG5fOHMbUzAy3Xr0YPHgwpUqVUjueEEIIkeFI0S2EEOkgNDSUdevWsWDBH9y8eQO73Pmp3bgtrk3bUaCQk9rxhPgkL/2ecujvtRzZtZ5Xgf64uLjy1VeDadOmDYaGhmrHE0IIITIEKbqFECIN3b17l4ULF+K+YgVhoaFUqdOEpm17U6ZybZkTWWQZOl00547v5eD21dy8fAY7O3v69+/HgAEDKFiwoNrxhBBCCFVJ0S2EEKksNjaWzZs34+6+gkOHDmJpZUODlt1o0qYnuXLnVzueEGnK5+EdDmxfzfF9m4iMCKd58xYMGfIVjRo1khNNQgghsiUpuoUQIpWEhoayYsUK5s6ayYPHPljb5qb7V99Ts35LmU9bZDsR4WGcPLiNA9tX8ujuLQoXLsLgwYPo3bs3NjY2ascTQggh0o0U3UII8Zl8fHyYP38+y5YuJjQ0jPYlDbgXFIf3a2PWHH6gdjwhVKUoCndvXmL/tpWcObITPT0Nffr0Ydy4cTg4OKgdTwghhEhzUnQLIcQnunHjBlMmT2bzls2YG+oxoIIeQ6saUtBSj7/v6Gi9MYKhP8yhfvPOakcVIkMIeRXAob/XsWfTUsLehNCjRw++++47ihYtqnY0IYQQIs1I0S2EECl0/fp1fp40ka3btuNorWV0NX3cymsxN9TErxMbp1BoXhjRZvlZtPW8immFyHgiI8I4tGMtf29YSHDgS7p06cJ3330nU44JIYTIkmREEyGESKYrV67QpvWXlCtXjsseu/mzpTF3vzJmaFXDBAU3gL6ehpHVtPg/9+HRvVsqJRYiYzI2MaNll4Es3HyOvqMmc/CIB87OzrRr154rV66oHU8IIYRIVdLSLYQQH3Hp0iV+njSRnbt2U8TGkB9q69GtjBatvuaD2wVHKuT5/Q2Fy9Tg14Xb0ymtEJmPThfN8X1b2L56Lr7PntC8eQt+/PEHqlWrpnY0IYQQ4rNJS7cQQiTh4sWLtGzRnMqVK+PleZBVrY2585URbuUNP1pwA+Q01tCnvJZ7188SHvo6HRILkTlptYY0bNWVeX+dZsRPC7h+y5vq1avTsGEjTpw4oXY8IYQQ4rNI0S2EEP9x/vx5mn/RjCpVqnD3/GHWtDHm9mAjepYzxEDv48X2vw2rZoguVmHVgp/TKK0QWYe+gQGuTdsza60HY35dykOf57i6ulKnjguHDx9WO54QQgjxSaR7uRBC/I+3tzffjBnNrt17KGFnyI+19enkbIB+Cgvt/2q8JpzTvgasPvwQPT051ylEcimKwoVTB9myYjb3va7SpElTfv99Js7OzmpHE0IIIZJNvv0JIbK9wMBAhg8fTunSztw4c5B1bU24OdCIrmW0n11wA3xdXUt4RCQHt69OhbRCZB8ajYaqdZrw2/J9jJ3qzvVbdyhbtiyDBw/m5cuXascTQgghkkVauoUQ2VZUVBQLFizg118mERcdwfe19BlezRBjg88vtP8tTlEoNj+MN1p7lvwtIzML8al00VHs27qCzStmoaeBH3/4geHDh2NkZKR2NCGEECJJ0tIthMh2FEVh69atlCpRnHFjv6FLsSjuDTFmbC2jVC+4AfQ0Gr6ubkiAvy93b15K9f0LkV1oDY1o1WUQf2zypHbj9owfP54SJUqyZcsWpA1BCCFERiVFtxAiW7lw4QIutWvRvn17Shj6cX2QKQubG2NnlrYfh73KaTHVgvvcCWl6HCGygxw5beg/egqz1x7DNl8ROnToQJ06Lly4cEHtaEIIIUQiUnQLIbKFf/75hx7du1O1alWCH17iQHdT9nQxplQu/XQ5voWRhv4VDXl4+zJvQl6lyzGFyOryOxbnu5lrmTB3I0/9AqlatSo9evTg6dOnakcTQggh4sk13UKILC0yMpJp06bx27Sp5DBU+NVVnz4VUmeAtJR6+CqOovNCcWnWgRET5qf78YXIymJjYjiyewN/LZtOVEQoY8aMYezYsZibm6sdTQghRDYnRbcQIsvy8PBgYP++PHr0mDE1DBhf2wgLo/Qvtv+t5YZwjjzRY83RxzJ9mBBpIDzsDdtWzWP3xqVYW1szd+4cOnTogEaj7ntfCCFE9iXf+IQQWU5QUBD9+valXr162Omecm2gCVMaGKtecAOMrGZIRFQ0uzcuVTuKEFmSqZkF3b/6nnl/ncTRqQKdOnWiZctW+Pj4qB1NCCFENiUt3UKILENRFDZu3MiIYUOJCgthegMD+lXUopeBWrgURaHUwjD8FVv+3H1d7ThCZHnnju/jz9/HExH+himTJzN06FD09dNnLAchhBACpKVbCJFFPH78mC+aNaVLly642r/Ba7AxAyoZZqiCG0Dzv+nDggL9uXXFU+04QmR51VybMWf9CVyadODrr7+mevUaXLt2Te1YQgghshEpuoUQmVpMTAy///47zqVKcvPcMXZ2NmFTe2PyWGTcj7fuZbVYGmlYMfcntaMIkS2YmedgwDfTmLx4Jy+D3lCxYkV69epFZGSk2tGEEEJkAxn3W6kQQnzEpUuXqFq5Et98M4b+ZeO4PciYlk5atWN9lKlWw6DKWnzuXedVoL/acYTINkqUrcKAsdOJi4tj9erVlCtfgbNnz6odSwghRBYnRbcQItOJiopi3LhxVK1ahVj/O5zta8acphljoLTk+qqKIXEKuM/+Qe0oQmQbOl00i6aNxsDIlNy9ZvPPmzhq1qzJ6NGjCQ8PVzueEEKILEqKbiFEpuLl5UX1qlWY/ftMfq1ryMW+RlTNl/kGRSpoqUebEgZcOrmPmJgYteMIkS1sWz2PZ0/uk7PpMIxyFyNXtxlYuroxZ94CypYrz8WLF9WOKIQQIguSolsIkSkoisLChQupWKE8kX7enO1rwvg6Rmj1M0/r9n+NqGZIZLSOHWsXqB1FiCzvyQMvNq+YjWHekpiVqAOARk8fy2rtyO02j+fhGqrXqMGUKVOIjY1VOa0QQoisRKYME0JkeC9evKBvn97s2buPryobMqOxEabazFtsv6MoCuWXhOMTbYn73ttqxxEiy4qNjeXbfl/w+OEd8g5eg56xaaJ1lNgYgk+v5/XZzdSoUZP169bi6OiY/mGFEEJkOdLSLYTI0Pbu3UvZ0qU4f+IQu7qY8Edz4yxRcMPb6cNGVdcS/CqIK2ePqh1HiCxr76Y/eXDnGpb1+r234AbQ6Btg5dIT+y5Tuex1n9Jly7Ju3bp0TiqEECIrkqJbCJEhRUREMHTIEJo3b05lq1BuDDSmRfGMPzJ5SnUqrcXaRMPqBb+oHUWILMnv2RPWLpqM1q4QFuWbfXR94wKlses1D03BynTv3p0uXboQHByc9kGFEEJkWVJ0CyEynKtXr1KpQjmWL1vMgmbG7O5ihL151vy4MjbQMKSKlqcPvXj54pnacYTIUhRFYeGUr4lTwK7DpGRvp2dkhk2L0di2/IYtf+/GuXQZTpw4kYZJhRBCZGVZ81usECJTiouLY+bMmVStUgXD10+41N+EIVUN0WiyRnfypAyqbAjA8lnfq5xEiKzlyK4N3Lx8BvOaXTAwt07x9malXLF3m0ewgRX16tXjt99+Iy4uLg2SCiGEyMpkIDUhRIYQEhJCr549+HvnLsbUMOTX+kYYGWTtYvvfum6NYJt3HKsOP8LQ0FDtOEJkekEv/RjaqRYxxpbkG7D0s/alxMUSfGodrz030aJlS1avWoWVlVUqJRVCCJHVSUu3EEJ1t2/fpmrlingc2seuLibMaGycrQpugJHVDYnSxbLFfZbaUYTI9BRFYcn0seh0Udh1/Pmz96fR08fKpSe52v/EgSMelK9QkcuXL6dCUiGEENmBFN1CCFVt2bKFqlUqYxj6lAt9jbLkYGnJUTWfPpXz6nNw+wq1owiR6Xke3cWFUwcxq9gKbc7cqbZf0yJVsOs5h5c6Q6rXqMmyZcuQDoNCCCE+RoruDMzR0RGNRiO399xk7tTMLyYmhnHjxtGhQwdaFI7Fs7cRxWz01Y6lqlHVDXn9OoSzHnvVjiJEpvUmJIgl08dhYGGLVb0+qb5/A0t7cnX5DWPn+gwYMIBevdwIDw9P9eMIIYTIOuSa7gxMo9HIGfQkyHOTuQUEBNC5Ywc8jh9nekNDvq6e9QdLS47oWIX8s0MxtC3C/L9OqR1HiExpzqQhnDq0A/seczC0L5Smxwq9dYzgg3/gVKwof+/YTtGiRdP0eEIIITInaekWQqSrixcvUqlCOa5fOMWh7iaMqmEkBff/GOprGF7VEF+f+/j+81DtOEJkOpc9j3Bi/1ZMnOunecENYO5cD7vuv/PwRTCVKlfh6NGjaX5MIYQQmY8U3UKIdLNixQpq16qJPQFc6mdMvUIGakfKcAZW0qKvgT9l+jAhUiQiLJQ/pozCwNQS6ybD0u24hrkcyNVtJjE2hWnUuDGLFy9Ot2MLIYTIHKToFkKkuejoaAYPGkSfPn3oWVrDiV5GFLCUj5/3yWWmR9cyWm5dPE50ZKTacYTINNYsmkxI0EtsWn+Hnl76fr7oGZtj2+4nzMp/weDBgxk6dCgxMTHpmkEIIUTGJd96hRBpKiQkhObNmrL8z2UsbWHM0pbGGGez6cBSakQ1Q6Jj4li3dJraUYTIFG5fPcv+rSswKlod4wLOqmTQ6Olj3XAg1k2GsmjxYpo0bcqrV69UySKEECJjkaI7k3Fzc0Oj0TBtWsIv4zt27EhwXayHhwcajYbg4OAk97V06VLq1q1Ljhw5kly3VatWFCxYEGNjY/LkyUOPHj14/vz5BzNOnDiREiVKYGZmhpWVFQ0bNuTcuXMJ1hk1ahTW1tYULFiQv/76K8F9mzZtomXLlh88hsgcnj59Sp1aNbh49iSHuhvTv5Kh2pEyhQp59KlZQJ9ju9aqHUWIDC86KpL5v47AwNgM25Zj1I6DRfmm5OrwCyc9L1ClajXu3r2rdiQhhBAqk6I7EzI2Nua333777DPo4eHhNG3alO+++y7JderVq8emTZvw9vZm69atPHjwgPbt239wv8WLF2fBggXcuHGDU6dO4ejoSOPGjXn58iUAu3btYv369Rw8eJDffvuN3r17ExgYCEBwcDDff/89f/zxx2c9NqG+69evU71qZUKe3+e0mxGujnL9dkqMqm5IaGgoJw5sUzuKEBnaJvdZ+D/3war5aPQMMsaJPWOHsuTqPpNnIZFUrlKVw4cPqx1JCCGEiqTozoQaNmxI7ty5mTp16mftZ+TIkXz77bdUr149yXW+/vprqlevjoODAzVr1uTbb7/l7Nmz6HS6JLfp2rUrDRs2pHDhwjg7OzNr1ixev37N9evXAfDy8qJu3bpUrlyZLl26kCNHDh4+fDtS89ixY/nqq68oWLDgZz02oa7Dhw9Tu1YN7DSvONvbiFK5svf825/iyxIG5LXQ8Ney39SOIkSG9dD7BtvXLsCoYDlMi1ZVO04CWqu85Oo2k1jbojRt1ow1a9aoHUkIIYRKpOjOhPT19ZkyZQrz58/n6dOn6XbcoKAg1q1bR82aNdFqtcnaJjo6mqVLl2JpaUm5cuUAKFeuHBcvXuTVq1dcunSJiIgIihYtyqlTp7h8+TLDhw9Py4ch0tiqVato1qwptfLEcKKXEXks5GPmUxjoaRhRzRD/50/weXhH7ThCZDgxMTrm/zIcfQMjcrX9Qe0476VnZIZtuwmYlKpHz549mTFjBoqiqB1LCCFEOpNvw5lUmzZtKF++PD/99FOaH2vcuHGYmZlhY2ODj48Pf//990e32b17N+bm5hgbGzN79mwOHTqEra0tAE2aNKF79+5UqVIFNzc3Vq1ahZmZGYMHD2bJkiUsWrQIJycnatWqxa1btz54nJUrV6LVajEwMMjWtwYNGqg+YI+iKPzyyy+4ubnhVlafnZ2MMDeUAdM+R7+Khmj14M9ZGbOgEEJNf69bxJMHXlg2/go9Q2O14yRJo6ePddPhWNboxNixYxk9ejRxcXFqxxJCCJGONIqccs2wNBpNojPibm5uBAcHs2PHDk6cOEH9+vW5fv06d+/epU2bNvHre3h4UK9ePV69ekXOnDk/eJyPrRsQEEBQUBBPnjxh0qRJWFpasnv37gQDt/1XWFgYvr6+BAQEsGzZMo4ePcq5c+ews7N77/oTJ04kJCSE3r1707hxY27cuMHu3btZsGABly5dSvK58fPzY+fOndm65SAqKopJkyaRP39+9u/fT548edI9g06nY/CgQSx3d+fXekZ8V8fwg78fIvkG7opgxbVYVh68i4mpudpxhMgQnj6+x9c96qOfqxB5es5SO06yvbm8h6DDi+ncqRMrV67EyMhI7UhCCCHSgRTdGdjHim6A5s2bo9VqcXNzS7Oi+9+ePn1KgQIFOHPmDDVq1Ej2YylWrBh9+vRh/Pjxie67c+cOLVu25MqVK7i7u3Pq1Ck2bdpEWFgY5ubmhISEkCNHjgTbvO+5yc5u375N48aNMTIy4tChQxQuXDjdjv3mzRs6tG/LkSNHcG9pRI9yGWMgo6ziln8spReF0bRtbwZ883njOAiRFcTFxfH9wJbc975J7kErMDDN8fGNMpAw79ME7Z6Ja5067NixPdHfNyGEEFmPdC/P5KZNm8auXbs4c+ZMuhzvXaEbFRWV4u3et42iKAwYMIDff/8dc3NzYmNj4wdpe/evdMP7uFKlSnH69Gn09fWpVasWN27cSJfjBgQEUNelDp4nj7G/q4kU3GnA2U6f+oUMOLn/r4+vLEQ2cGDbSrxvXiKHS89MV3ADmDnVIleHnznpeY46Lq68ePFC7UhCCCHSmBTdmVyZMmXo1q0b8+fPT/G2fn5+XL16lfv37wNw48YNrl69SlBQEADnz59nwYIFXL16lSdPnnDs2DG6du1KkSJFErRylyhRgu3btwNvu5V/9913nD17lidPnnD58mX69evH06dP6dChQ6IMy5Ytw87OjlatWgFQq1Ytjh49ytmzZ5k9ezalSpX6aOu7eMvBwYFTp06RJ08eXFxc0vxEjL+/P/XruvD0wW1O9jKmQWGZEiytjKymJSw8gsO71qsdRQhV+fv+w6oFP6O1LUCOyl+qHeeTGRcsQ64u07jz6B+qVq/Bo0eP1I4khBAiDUnRnQX88ssvn9TVevHixVSoUIH+/fsD4OLiQoUKFdi5cycAJiYmbNu2jQYNGuDk5ESfPn0oXbo0x48fT3Admre3NyEhIcDbkdXv3LlDu3btKF68OC1atODly5ecPHkSZ2fnBMd/8eIFU6ZMYd68efHLqlatyujRo2nevDmbNm1ixYoVKX5c2ZmdnR3Hjh2jbNmyNGzYkP3796fJcXx9fanrUpuAf+7j0cOQsvYyJVhaal7cAIecemxxzzzXrgqR2hRFYfFv3xAbG4tdh1/UjvPZDO0KkavrdF68jqJ2HZf4E+BCCCGyHrmmOwOT65aTJs/Nh0VERNCpUyf27dvHmjVr6Ny5c6rt++nTp9Sv60JE4FOOdjekmI0U3Olh7tkovj4QxW/uByhaspzacYRIdx77NjPv52HkqNUFq9rd1I6TamLeBBC46UcsDWLwOHaUEiVKqB1JCCFEKpOWbiGyIBMTE7Zu3UqXLl3o2rUrixYtSpX9Pn78GJfaNYkOesqJnkZScKcjt/KGGBuA+5wJakcRIt0FB73kz9+/w8DSPksV3AAGFrbYdppCSKwhdVxcuXnzptqRhBBCpDIpuoXIorRaLStXrmTEiBF89dVX/Prrr5/VO+DBgwe41qmFJtSPE72MKGQlHx/pydJYQ7+Khjy4dZ7Q18FqxxEiXS37/TsiIyPI1WGS2lHShL65FbadpxCmb46La12uXbumdiQhhBCpSL41C5GF6enpMWvWLH755Rd+/PFHRo0a9UmjwXt7e+NapxbGUQGc6GlEQUv56FDD0KpadLEKK+dnzcJDiPc5d3wfnkd3YVauKYY2+dWOk2b0TS2x6TiZSGNrXFzrcvHiRbUjCSGESCVyTXcGJtctJ02em5RbtGgRQ4YMoUePHvz5559otdpkbXf79m3q13XFRu81R7obkttcCm41NVsXzvGn+qw58gg9PXktRNYW9iaEIZ1qEq6LI8/gVdnidz4uMpSArRPRC3nG4YMHqV69utqRhBBCfKas/9dLCAHA4MGDWb9+PevXr6ddu3ZERER8dJvr169T16UO9gav8eghBXdG8HV1QyIio9i3xV3tKEKkuZXzJhIaEoxtmx+zRcENoGdsjm37n1FyFqRho0acP39e7UhCCCE+U/b4C5ZJOTg4oNFo5Paem4ODg9ovT6bUuXNndu3axZEjR2jatGn8VG/vc+PGDerVdaGAcShHuxuSy0w+LjKCRoX1KWatx461C9SOIkSaun7hJEd2b8C4RB2M8hZXO0660jMyxab9RJScBWnUuAk3btxQO5IQQojPIN3LhciGzpw5Q/PmzSlUqBD79+/Hzs4uwf3379+nds0a5DF4zbGeRuQ01qiUVLzPogvRDNkbya+Ld1KyXFW14wiR6iIjwhjexYXg16/JM3QNenoGakdSRVxkKAGbfsAs5jWnT52kePHsdfJBCCGyCmm6EiIbqlmzJidOnMDX15fatWvz+PHj+Pv++ecfGtavS05ec6CboRTcGVCPclrMDGHFXJk+TGRNG5ZOJ/ClL9atxmXbghvedjW3aT+JUIypV78BT548UTuSEEKITyBFtxDZVJkyZTh9+jSxsbGMGDECAH9/fxo1qAeh/hzuboiddCnPkMwNNQysZMhj76sEB71UO44Qqcr75iV2/bUUI8dKmDiWVzuO6vRNLbHp8DOB4bHUrd8AX19ftSMJIYRIIeleLkQ29/r1a968eYOZmRn1XF3we3yHk72MKGotBXdG9jg4jsJzQ6nduC1fT1qodhwhUoUuOoqve9TnxQtf8g5di56BodqRMgxdsB8Bf31LkXz2nDxxHBsbG7UjCSGESCb5Vi1ENpcjRw6sra1p1aI5T+57cbCroRTcmYBjTj1aOhlw4fjuT5p7XYiMaOvqefj+8xCrZiOk4P4Pbc7c2Hb4hQc+z2jUuAmvX79WO5IQQohkkm/WQmRzMTExdO7UkYsXzrKnsyFl7PXVjiSS6evqhkRGRfP3OmnpFpnfk/tebFk5B8N8zpg51VI7ToaktSmATfufuenlTYuWrYiKilI7khBCiGSQoluIbExRFAYNHMiePXvY0t6IGgWy74BFmZGrgz7OufTYvWGx2lGE+CyxsbHM/3UEGn0tdu1kgMAPMbQvjHXbCZw+44mbm5v0dBFCiExAim4hsrEffviB5e7uuLcy4otiWrXjiBTSaDR8Xd2QV68CuHbhhNpxhPhkuzcu5aH3dSzr9UfP2FTtOBmecf5SWDcfxV8bN/L999+rHUcIIcRHSNEtRDY1b948pkyZwoxGRvQsJ9dOZlZdy2jJaaxh1fyf1Y4ixCfx/ecR6xZPRWtXGIvyTdSOk2mYlaiNVb2+TJs2jcWLpbeLEEJkZFJ0C5EN7d69m5EjRzKquiFjahqpHUd8BhOthsGVtfzz4CaB/jKVkMhcFEXhjylfowB2HeXEUUrlqNIai0qtGDJkCLt371Y7jhBCiCRI0S1ENnPz5k26dO5ESyctMxpLwZ0VfFXFEEWB5XN+UDuKEClyeOc6bl89i0XNrhiY5VQ7TqZkVb8vJkWr0aFjJy5cuKB2HCGEEO8h83QLkY28fPmSqpUrYhHtz2k3IyyMNGpHEqmk4+YIdt5XWHPkMQYGMiCeyPgC/X0Z2rkWcSZW5O2/RO04mVqcLoqATd9jGhnI+XNnKVy4sNqRhBBC/Iu0dAuRTURHR9OuTWvCgvzY1clQCu4sZmR1LVHRMWxdNUftKEJ8lKIoLJ7+DTE6Hbk6TFI7TqanpzXCps2PhCmGNG7SlFevXqkdSQghxL9I0S1ENqAoCoMHDeLcubNs72CIQ05562c1NfLrUyG3Pvs3L1c7ihAfdfrI31w6fRizSq3Q5sytdpwsQd/UEut2P+Hz3I/OXboQGxurdiQhhBD/I9+8hcgGZs+ejfuKFSxtbkitgtL1OCt6O32YlpCQV1w8fVDtOEIk6XVwIEtnfIs2Ry6s6vZWO06WorXKi1XLcRw6eIjvvvtO7ThCCCH+R4puIbK4vXv38s03Y/impiG9ysvUYFlZR2ctNqYa1vwxWe0oQiTJfc6PhIe9wbb9T2pHyZJMHMuTs25vpk+fzvr169WOI4QQAim6hcjSbt26RedOHWheTMvUBjJSeVZnZKBhaBUtzx978+LZE7XjCJHIpTOHOXFgG6alG2KYy1HtOFmWRZXWmJeuT+8+fbl8+bLacYQQItuToluILCogIICWzZvhaB7DujZG6OvJwGnZwaDKhmg0sHy2TB8mMpbwsDcsnDIKA1NLrBoPUTtOlqbRaLBqPAR9m4K0bPUl/v7+akcSQohsTYpuIbIgnU5H+7ZtCA30ZaeMVJ6t5DbXo3NpLdfPHyU6OlrtOELEW/PHr4S8CsCmzffo6cnXj7SmpzXC+svvCHgdRpu27eTzQAghVCR/9YTIgr7//ntOnznNtg6GOMpI5dnOiGqGROti+WvZb2pHEQKAW1c8ObB9FUbFamCcv5TacbINgxy2WLX6jrNnzzJixAi14wghRLYl38aFyGL27NnDjBkzmFrfkNoyUnm2VDmvPtXy63Pk79VqRxGCqMgIFvw6AgNjc2xbfaN2nGzHOH9JcjYcxOLFi1m9Wj4ThBBCDVJ0C5GF/PPPP/Tq0Z0WxQ0ZVUNGKs/Ovq5myJs3bzhzdJfaUUQ2t8n9d/x9/8GqxWj09OREoBosyjfFvExDBg4ajJeXl9pxhBAi25GiW4gsQqfT0aVTR0yVMFZ+aYieRq7jzs7aljTA3lzDusVT1Y4isrEHd66xY91CjBzKY1qkitpxsjWrhoPAIhdt27UnPDxc7ThCCJGtyClnIbKICRMmcPbcOU64mWBjKufTsjutvoYRVQ354dhDnj25Tz6HompH+iw6XTTBgf4EBbzgVYAfb0JeERUZQWREONFREURFvruFExUVQXRkBDExOvT1DTDQGmJgoH1702ox0BrGLzc0NMIshyUWOayxsLTCwtIKSytbctrYYWpmgUZOXn2ymBgd838Zgb7WiFxtvlc7TranZ2iMVYux3Fs7imHDhrF8+XK1IwkhRLahURRFUTuEEOLz7Nu3jy+++ILfGhoxtpbMxy3eCgiPI9+sUEpWdOWneRvVjvNB4WFvePr4Hv888ubFMx9eBfgRFOBHSNDbQjs4KCDRNqamppiammFiavq//5ti9u5fM1O0Wi06nQ6dTkdUVDQ6nY7o6GiioqPQ6WKIjo4mIiKCV6+CeB0Skmj/hkbGWNvYkdPGDvt8juQpUJi8BQu//Td/YUzMzNPjqcm0tqycy/ql07BpPgpz53pqxxH/E3r9EIH75rJmzRq6d++udhwhhMgWpOgWIpN7+vQpFcqVpYpNGLu7GEm3cpFA350RrLkRy6pD9zE2NlU7Dm9CXvH08V3+eXSXp4/v8fTxXZ49vsvLF8/j18mbNx/58uUjX7685M379pYnT574/+fNmxdra+tUnXYqJiaGoKAgAgMDefnyJX5+fvj5+eHr68uzZ8+4d+8+9+7dIzDw/4t/a1s78hQoQu78hchXsAiFncpSpGQ5zMxzpFquzOrp43t83b0e+vZFyNPjd7XjiH9RFIWgvbOJfXiOy5cuUqJECbUjCSFElidFtxCZWExMDPVcXXh06yJXBxhhK93KxX9cfxFLucVhNO/Yj75f/5qux46NieHJAy+8b1zgzo2L3L1xgRe+/wCgp6dH4SJFKe1cilKlSlGyZElKlSqFk5MTZmZm6ZozJV69esW9e/e4e/cu9+7d4969e3h738X7rjdhoaEAFHAsRpGS5SlWqgJFS1XAsWgptIbZpwdKXFwc3w1owYO7t8g9aAUGpnISIqOJi47g5dpRFLaz5OKF85iYmKgdSQghsjQpuoXIxL7//nt+mzYVj14mMj2YSJLrynAuBRix5vCDND1O2JsQvG9e5M71i9y9eYF7t64QERGGVqulYsVK1KpVkypVquDs7Ezx4sUxMso6hWhcXBze3t6cP3+eCxcucO7cea5du4pOp0OrNcSxWCmKlqpIuSoulK5UC1MzC7Ujp5k9m/9k+awfsGo4kByVWqodRyQh+uVj/NeMpnevHixbtkztOEIIkaVJ0S1EJnXgwAGaNWvGlPqGfFs76xQvIvXtuKOjzcYIhv4wh/rNO6fafuPi4nhw5xqXzhzmiucR7ntdQ1EUbG1zUbNWTWrXqkXNmjWpVKkSxsbGqXbczCIqKopr167FF+KnTp3m4cMH6BsY4FS6MuWqulK+Wl0KO5VFX19f7bipwt/Xh+FdXFAs7Mnb9w+144iPeHN1P0EHFrBjxw6+/PJLteMIIUSWJUW3EJlQYGAgziWdKG/5hr1d5Tpu8WGxcQqOc8PQmedn0dbzn7WvsNDXXDt/nEtnDnP17DFeBfqTw9KSpk2a0LRpU+rUqUORIkVk1O8kPHz4kIMHD7L/wAGOHj3Km9evyWFpRZkqLpSv6kr5avWwscujdsxPoigKk0Z04tYVT3L3X4ZBDlu1I4mPUBSFwO2/YhT0AK/bt7Czs1M7khBCZElSdAuRCXXt0oX9O7dwa5AxeSzkOm7xcb+fieKbQ1H8vuYojkVLpWjbAP/nnD78N5dOH8Lr+nliY2IoVcqZFi2a07x5c2rWrImBgVzekFI6nY7z589z4MABDhw4yIUL51EUhVLlqlGr4ZfUqN+SnNa51I6ZbMf2bGT+ryOwrNWVnLW7qh1HJFNs2CterBjKF43qsX3bNjlhJoQQaUCKbiEymW3bttGuXTvWtjGhW1mt2nFEJhEcqZDn9zcULlODXxdu/+j6YaGvOXtsNycObOXm5TMYGRlRr179+ELbwcEhHVJnL0FBQezevZu//trIoUMHiYuLo3SlWtRq8CXV636BhaW12hGT9CrQn6GdaqEzMCXfIJn/ObMJv3uGl9unsGrVKnr27Kl2HCGEyHKk6BYiEwkICMC5pBM1bEPZ3tFIWiREiny1J4I/r8SwYr83pu+Z1iomRscVz2OcOLCFC6cOoouOom7devTs2YO2bduSI4eMQp1eAgMD2bZtG3/9tREPj2No9PQoV8WFWg1bU931iww3R/j08X25cPIAdr0XYGiTX+044hME7pmN8uQ8t2/epGDBgmrHEUKILEWKbiEykc6dOnFozzZuDTImt7l0Kxcp4/UyllILw2jUugeDx82IX/7gzjWO7v6LM0d3EvIqkNKly9CzZw+6dOlC/vxSQKnNz8+PrVu3smHDX5w+fQpTM3NcmrSnSdteOBQpqXY8znrsYfr4vlhUaoV1wwFqxxGfKC4yFP9Vw6le3pmjRw6jpyd/Y4TI6GJjY9HpdGrHyLa0Wm2yB0KVoluITGLLli106NCB9W1N6FJGupWLT9NoTThnfA1YvteLM0d3cWDbCu7eukKePHnp1q0rPXr0oGzZsmrHFEnw8fFh2bJlLF26DH//F5QqX52mbd2oVvcLtFrDdM8T+jqYoZ1qER6jkGfwSinUMrmIx1fx3/gDc+bMYcSIEWrHEUIkQVEU/Pz8CA4OVjtKtpczZ05y58790d6nUnQLkQm8fPkS55IlqG0XytYO0q1cfLq116PpsT0SE1MzIsLDaNiwEUOHDqFFixZZZtqq7CA6OpodO3bwxx8LOXHiODmtc9GgZVcafdkduzwF0i3Hgskj8di3GbvuMzHKXSzdjivSTtDhJUTdPMTVK5cpWVL9nhRCiMR8fX0JDg7Gzs4OU1NT+V6oAkVRCA8Px9/fn5w5c5Inz4dnHpGiW4hMoGOHDhzdt4Nbg4yxl27l4hNceh7L7LPRbLwdg76+Pp06d+W7777DyclJ7WjiM926dYvFixezavVqwkJDqVy7Me16DqeYc8U0Pe618yeYNKIjps71ydViVJoeS6SfOF0kL1eNoHxxB06fOim9F4TIYGJjY7l79y52dnbY2NioHSfbCwwMxN/fn+LFi3+w8UI+SYXI4DZt2sTmLVv4o6lWCm6RYiefxNBwTSSVl4VxOsSeGTNn4f8ykFWrVknBnUU4Ozszf/58nj97xqJFiwj2e8S4fl/w88jOeF07lybHjIwIY8HkkRiYWmDzxcg0OYZQh57WGMvGQzjreYY///xT7ThCiP94dw23qampykkE/P/r8LFr6+UbvBAZ2IsXL/hq0EDalTKko7PMgyySz+NxDPVWR+KyMpyXpsXYtGkT9x8+ZuTIkTIKeRZlbm7OgAEDuH37Fn/99Re60AC+H/QlE4a05fqFk6Rmx7Z1i6cRFOCHdatvpSU0CzIuWBbzso0Y/c03+Pr6qh1HCPEe0qU8Y0ju6yB/KYXIwIZ8NRiNLpSFXxjKh6v4KEVROPYohrqrI6m3KpxgCye2b9/OlWvX6dChg1yznU3o6+vTqVMnrl+/xvbt2zEkionDO/DdgBZcOnP4s4tv7xsX2bPpT4wLVcbEoVwqpRYZTc66fYiO02PY8OFqRxFCiExPrukWIoPau3cvzZs35692JnQqLaOViw875RPDd8diOPk4morly/HTpJ9p2bKlnKwRKIrC/v37+fnnXzh71pOiJcvR46sfKVO5dor3pYuO4uvu9fD39yPP0LXoGaT/iOki/YTdPk7Arhns3LmTli1bqh1HCAFERkby6NEjChUqhLGxcYL7fHx8CAgISJcctra2FCxYMF2OlZF96PX4Nym6hciAIiMjKV2qBI4aXw51l9HKRdIeBMUx7kg0W2+/LbYn/fIrzZs3l98ZkYiiKHh4eDB+/HecO3eWqnWa0HPoBPIWLJLsfWxY+htbVs7BpvV4zIrXTMO0IiNQFIWALRPJGfUC7ztemJubqx1JiGwvqSLPx8cHpxIliYwIT5ccxiameN/xSlHh7ebmxqpVqwAwMDCgQIECtG3blkmTJmFmZsbWrVuZPn06d+7cIS4ujoIFC9K0aVN+//33RPtq3LgxR44c4fTp01SvXj3VHldKJbfolotEhciAZs6cyRMfH3YNlGkgxPsFRyr8eiKKeedjsLe3Y82aGXTt2lWurxVJ0mg01KtXD0/PM2zatImxY8cxopsrTdv2pmOfUVhYWn1w+8f3b7N11TwM8ztLwZ1NaDQacjYazIsVQ/nxxx+ZPXu22pGEEEkICAggMiIcmxaj0dqk7dSRusB/CNz9OwEBASlu7W7atCkrVqxAp9Nx8uRJ+vXrR1hYGO3ataNz585MmTKFVq1aodFouH37NkeOHEm0Dx8fHzw9PRk6dCjLly9XtehOLim6hchgnjx5wpTJvzKyqpaSueQaXJGQLlZhySUdE0/EEKlomTDxR0aNGiWjmIpk02g0dOrUiS+//JI5c+YwecoUTuzfTIc+o2nazg0Dg8SXs8TGxDD/l+FoDLTYtZugQmqhFm3O3OSo1ZW58+bRtWtXqlSponYkIcQHaG0KYJS7qNoxkmRkZETu3LkB6Nq1K8eOHWPHjh0YGRlRu3Ztvvnmm/h1ixcvTuvWrRPtY8WKFbRo0YLBgwdTtWpV5syZg5mZWXo9hE8iTSJCZDCjvh6JlVEcE1yN1I4iMphjj2IosySK4fujaNO5F/fuP+CHH36Qglt8EmNjY7799lvu37tHl84dWTnvJ77uXpcLJw8mWnfXxqU8unsLywYD0TOS37fsxqLylxjbFWLgoMHExcWpHUcIkYWYmJig0+nInTs3t27d4ubNmx9cX1EUVqxYQffu3SlRogTFixdn06ZN6ZT200nRLUQGcvDgQbZt38HMBgZYGEm3cvFWYHgcff6OpP7qcHIVq8SVK1dY9uef5MmTR+1oIguwt7dnyZIlXL16lZLFCjN1bE9++7Y3gf5vp4ry/ecR65dMRWtfGIuyjVROK9Sg0dMnR4MBXLl8idWrV6sdRwiRRZw/f57169fToEEDhg0bRpUqVShTpgyOjo507twZd3d3oqKiEmxz+PBhwsPDadKkCQDdu3dn+fLlasRPESm6hcggoqKiGDZkMK6FDOlcWq78EG/P5q6/oaPkoki2PTRk6dKlHD95inLlZJomkfrKlCnDwYMH2LJlC4/vXGFE1zrs27qCBZNHoqDBrsMktSMKFRnnd8a8pAvfjB3H69ev1Y4jhMikdu/ejbm5OcbGxtSoUQMXFxfmz5+PmZkZe/bs4f79+/zwww+Ym5szevRoqlatSnj4/w8Ot3z5cjp16oSBwdvvyl26dOHcuXN4e3ur9ZCSRYpuITKIOXPm8ODhIxY01crgaYJHr+Jotj6KbtsiqNesNV537tK/f38ZKE2kKY1GQ7t27bhzx4vu3bqybOZ4vK6dw6xCcwzMcqodT6jMsq4br0JCmDJlitpRhBCZVL169bh69Sre3t5ERkaybds27Ozs4u8vUqQI/fr1488//+Ty5cvcvn2bjRs3AhAUFMSOHTtYuHAhBgYGGBgYkC9fPmJiYnB3d1frISWLfHsTIgN4+vQpv/w8iWFVtJS2k8HTsrM4RWHO2SicF4dzO8KGXbt2sXHTZulKLtJVzpw5WbJkCdu2bSN37jyEXdnL6/PbUOJi1Y4mVGSQww7zKu2YNWs29+/fVzuOECITMjMzo2jRojg4OKDVJh64898cHR0xNTUlLCwMgHXr1pE/f36uXbvG1atX429z5sxh1apVxMTEpMdD+CRSdAuRAYweNQpz/Rgm1pXB07Kz52/iaLIuiq8PRNFv4BBu37lLixYt1I4lsrE2bdrw4MF9hg0ZTLDHCgI2jEcX9EztWEJFOaq1Rc8sJ6NGj1Y7ihAiC5k4cSJjx47Fw8ODR48eceXKFfr06YNOp6NRo7fjiSxfvpz27dtTunTpBLc+ffoQHBzMnj17VH4USZMLR4VQ2dGjR9m0eTOrWxtjaSzdyrOrbV46+u/RYWRuxcGD6+L/wAihNlNTU2bPnk27du3o0cuNf1YOJ4dLTywqtZJLYbIhPa0xFi5u7No5nUOHDslnlRAZjC7wn0x5DFdXV/744w969uzJixcvsLKyokKFChw8eBAnJycuXbrEtWvXWLZsWaJtLSwsaNy4McuXL+fLL79M9WypQaMoiqJ2CCGyq7i4OKpUqohRkBen3YzkC2w2FBqtMGJ/FO5XomnT+kuWLvsTW1tbtWMJ8V7h4eF89913zJ07FzOnWlg3GyFTiGVDiqIQsOFbCpjFcfPG9fgBjYQQaS8yMpJHjx5RqFAhjI2N45f7+PjgVKIkkRHhH9g69RibmOJ9x4uCBQumy/EyqqRej/+SolsIFW3atIlOnTpxws2UOg7ypSW7Of8slm47ovENN2DuvPn06dNHTryITGHHjh1079mTWMMcWLX6FkO7QmpHEuksyu8+fqu/ZsH8+QwZMkTtOEJkGx8q8nx8fAgICEiXHLa2ttm+4AYpuoXI8GJiYnAu6UQRzVP2dk36TSqyHkVRWHhBx8iDUVSsUIG16/+iWLFiascSIkUePHhA6zZt8fL2JmfDrzAv00DtSCKdBe6ZhfGLmzx+9BAzMzO14wiRLSS3yBPpI7mvhwykJoRKVq5cyd37D5lc78MjN4qsJUKn4PZ3JEP3RTJk6HBOnTkrBbfIlIoUKcL5c2fp1b0bgXtnE7h/HkpMtNqxRDqyrN2NoKAg5s2bp3YUIYTI0KSlWwgVREZGUqxIIWpbB7GhnZylzC4eB8fRdnM0d4I0LPtzOd26dVM7khCpYsWKFQwa/BX61vmxavUt2py51Y4k0knQocVw/yRPHj/CyspK7ThCZHnS0p2xSEu3EBnYwoUL8fV7wc91pZU7uzj0IIZKf0YSrLXH8+w5KbhFltK7d2/OnzuLvYmC/+qRhN87p3YkkU4sa3YiPDKK6dOnqx1FCCEyLCm6hUhnr1+/Zsqvv9C3vJZiNvpqxxFpTFEUfjsVRdP1EVStXZ+Ll69Srlw5tWMJkerKlSvH1cuXaN6kIS+3/cIrj5UoSpzasUQa0zezwqxSK2bPmYuvr6/acYQQIkOSoluIdPb7778TFvqaCa6GakcRaUwXq9B/VxTfHoli/Pjv2L1nL9bW1mrHEiLNWFpasn3bNmbOnMmbC9sI3DUDJUandiyRxiyrtiVOz4Bff/1V7ShCCJEhSdEtRDp6+fIls36fwbAqBuTLIW+/rOxNlELLv6JYfSOONWvW8Ouvv6KvLz0bRNan0WgYPXo027ZuRffwAgFbfiIuKkztWCIN6RmbY1alHUuWLuXhw4dqxxFCiAxHvvULkY6mTJmCXpyOcbWklTsre/4mDpfVUXi+0LL/wAG6d++udiQh0l3r1q05cvgQ+q+eEPDXeGJCg9SOJNKQRaUW6JtaMmHCT2pHEUKIDEdGLxcinfj4+FCsaBF+rK3PDy5GascRaeSWfyzNNkSjmNqwd/9BypQpo3YkIVR169YtGjVuQlBELDbtJ6G1zqd2JJFG3lzew6vDi/Hy8sLJyUntOEJkSR8aLdvHx4eAgIB0yWFra0vBggXT5VgZWXJHLzdIx0xCZGtTJk/G0ghGVpdW7qzq2KMY2myOxqGIE3v3HyBfPikuhHB2dubcWU8aNmrMo/VjsWk7AaO8UpBlReZlGxF6bhPTpk1jxYoVascRIlvx8fGhZMmShIeHp8vxTE1N8fLySnbh3bJlSyIiIjh8+HCi+zw9PalZsyYWFha8efMmyX14eHjg6ur6yZnVJEW3EOnAz8+PlStX8FNtfcwNNWrHEWlg7z0dbTdHUcelLlu3bSdHjhxqRxIiwyhQoACeZ07zRfMWXNz4PTatvsWkSGW1Y4lUpjEwxKzSl6xZu5pJkyZJK5gQ6SggIIDw8HBGTPyD/I7F0vRYTx/fY+7EIQQEBCT7fd63b1/atm3LkydPcHBwSHCfu7s75cuX58iRI0RHRye4Lzo6mubNm2NsbEy1atVS7TGkNym6hUgH8+bNw1AvjsFVku52IjKvv+/o6LAlii+aN2fjps0YGcnlA0L8l7W1NceOHqFjp07s2fYL1k2HY16mgdqxRCozL9+M0HNbmDlzJvPmzVM7Too4Ojry5MkTtWNkGQ4ODjx+/FjtGNlOfsdiFHEqq3aMRFq0aIGdnR0rV67kp5/+f+yH8PBwNm7cyJQpU947w0v//v15+fIlFy9e/GD37YxOBlITIo29efOGhX/MZ2AFfXIaSyt3VrP5lo72WyL5snVrNm/ZKgW3EB9gYmLC9m3b6NPbjcC9s3l9frvakUQq0zM0wbRiS5YsXcaLFy/UjpMiT548QVEUuaXSTU5giH8zMDCgZ8+erFy5kn8PKbZ582aio6Pp1q1bom0WLlzI6tWr2bZtG/nz50/PuKlOim4h0tjSpUsJDwuXa7mzoPU3dHTeFknHjp3Z8NdGtFqt2pGEyPAMDAxYtmwZ48eP59Wx5by5vEftSCKVWVRsQRx6zJkzR+0oQogMpE+fPjx+/BgPD4/4Ze7u7rRt2xYrK6sE6544cYKRI0fyxx9/ULNmzXROmvqk6BYiDUVHRzP79xl0LyPzcmc1q65G0317BD2692D1mjUYGMjVOkIkl0ajYfLkyYwcOZKgQ4sIvXlE7UgiFembWGBavhnzFywgODhY7ThCiAyiRIkS1KxZE3d3dwAePHjAyZMn6dOnT4L1fHx8aN++PQMGDKBfv35qRE11UgUIkYbWr1/PM98XfFNTWkCzktXXoum9M5J+ffvhvmIF+vr6akcSItPRaDTMmjWLvn37ErR3LmHep9WOJFJRjsqtiYiMZsGCBWpHEUJkIH379mXr1q28fv2aFStW4ODgQIMG/z++R0REBG3atMHZ2TlL9ZaRoluINBIXF8f0aVNoVcKQkrmkKMsqtnnp6L0zir59+rJ4yRL09ORjVIhPpdFoWLJkCZ06dSRo1wwiHlxUO5JIJfrmVpiWacTvs2YTFhamdhwhRAbRsWNH9PX1Wb9+PatWraJ3795oNP8/5lG/fv0ICgpi8+bNWaoXoXxbFCKN7N69Gy/ve4yrmXU+MLK7gw9i6Lw1ig7tO0jBLUQq0dfXZ/Xq1TRr1pTAv6cS6XND7UgilVhWa0tIcDBr1qxRO8onc3NzQ6PRoNFo0Gq1FC5cmDFjxiQ4kbB161aqVauGpaUlFhYWODs7M3r06Pfur3Hjxujr63P27NmPHtvDw4Mvv/ySPHnyYGZmRvny5Vm3bl2i9Y4fP06lSpUwNjamcOHCLF68+KP79vHxoWXLlpiZmWFra8vw4cMTTNX0+PFjXFxcMDc3x9XVNdGgaM2bN2fr1q0fPY5If08f3+OB9/U0vT19fO+T85mbm9OpUye+++47nj9/jpubW/x9M2bMYPPmzSxevJiYmBj8/PwS3CIiIlLhGVKHVANCpJHp06ZSy8GQmgXkbZYVnHsaQ5tNUTRu0oQ1a9dKl3IhUpFWq2XL5s188UVzTm77BduOv2CU10ntWOIzGVjaY1q8OrPmzGXgwIEJWrMyk6ZNm7JixQp0Oh0nT56kX79+hIWFsWjRIg4fPkznzp2ZMmUKrVq1QqPRcPv2bY4cSTxOgY+PD56engwdOpTly5dTvXr1Dx73zJkzlC1blnHjxmFvb8+ePXvo2bMnOXLkoGXLlgA8evSIL774gv79+7N27VpOnz7NV199Ra5cuWjXrt179xsbG0vz5s3JlSsXp06dIjAwkF69eqEoCvPnzwdg9OjR5MuXj+XLl/PDDz8wZswYNm/eDMBff/2Fvr5+kvsX6rC1tcXU1JS5E4eky/FMTU2xtbX9pG379u3L8uXLady4cYJ5vhcuXIhOp6Np06bv3W7FihUJivTMRKP8e8x2IUSqOH36NLVr12ZnZxNaOsn13Jmd18tYaq+KolS5Khw8fAQTExO1IwmRJYWGhtKwUWMuX7+JbacpGNoVUjuS+EyRPjd4sWE8hw4domHDhmrH+SCNRsN/vxa7ubkRHBzMjh074pf179+f3bt34+vry8iRI7l27RrHjh376P4nTZrEnTt3+Omnn6hatSq+vr6YmZmlKGPz5s2xt7ePH4hq3Lhx7Ny5Ey8vr/h1Bg0axLVr1/D09HzvPvbt20eLFi34559/yJs3L/C2kHZzc8Pf358cOXJQqlQpZs2aRdOmTdm3bx9jxozh1q1bBAcHU7lyZY4ePZqgWHqf9z2f4vNFRkby6NEjChUqlGjeah8fHwICAtIlh62t7Ud/B7KDD70e/yZNcEKkgem/TaOUvSHNi8tbLLN7+jqOJuujyetQjJ2790jBLUQaMjc3Z/++vbjWrcedzROw7TINrXU+tWOJz2BUoDQm9oWZM3duhi+6k8vExASdTgdA7ty5Wb9+PTdv3qR06dJJbqMoCitWrOCPP/6gRIkSFC9enE2bNtG7d+8UHTskJISSJUvG/+zp6Unjxo0TrNOkSROWL1+OTqd771SWnp6elC5dOr7gfrdNVFQUly5dol69epQrV47Dhw/TuHFjDh48SNmyZQEYM2YMQ4cOlWIrgypYsKC8NhmUXJAoRCp79OgRu3bvYVRVPfQyaVc68VZotELzv6LRs7DjwKHDieaQFEKkvpw5c3L40EEc89kTuHUisRFv1I4kPoNGo8GkQgv27tnDgwcP0uw4kZGRbNiwgUaNGpEzZ85k35YsWZKi45w/f57169fHj7Y8bNgwqlSpQpkyZXB0dKRz5864u7sTFRWVYLvDhw8THh5OkyZNAOjevTvLly9P0bG3bNnChQsXEhTqfn5+2NvbJ1jP3t6emJiYJFs837eNlZUVhoaG+Pn5ATBz5kzu3LmDo6Mj9+7dY+bMmZw4cYJr167Rs2dPOnbsSOHChRk0aFCCa8GFEO8nzXBCpLJly5aRw1ifLmWkW3lmFqco9NgRxcPXBnie3Z+gRUAIkbZy5crF/n17qVCxEkG7pmPbfiIaPRlHIbMyK+XKmxMr+eOPP5g1a1aq7vvy5cu4u7uzbt06goODqV27NuPGjXtvC+/7/HuqoqTs3r0bc3NzYmJi0Ol0fPnll/HXPpuZmbHnfycUjh07xtmzZxk9ejRz587F09MTU1NTAJYvX06nTp3iR2Pu0qUL33zzDd7e3jg5fXz8Ag8PD9zc3Fi2bBnOzs4J7vvvtfLvunR/6Br6992nKEr88nz58rF79+74+6KiomjSpAmrV6/m119/xcLCAm9vb5o2bcqSJUsYNmzYRx+DENmZFN1CpCKdTof7n0vpUVqDqVZauTOzH45G8fcdHTt3bv1gl0EhRNooVKgQW7dspnGTJgR7rMSqfl+1I4lPpKc1wqRsY5b++SeTJk3CwsLis/YXGBjI+vXrcXd35+rVq+TJk4dBgwbRu3dvihcvnkqp/1+9evVYtGgRWq2WvHnzvregL1KkCEWKFKFfv358//33FC9enI0bN9K7d2+CgoLYsWMHOp2ORYsWxW8TGxuLu7s7v/322wePf/z4cVq2bMmsWbPo2bNngvty584d3zr9jr+/PwYGBtjY2Lx3f7lz5+bcuXMJlr169QqdTpeoBfydyZMn07hxYypWrEi/fv349ddf0Wq1tG3blqNHj0rRLcRHSPdyIVLRzp07efEykIGVDdWOIj7D2uvRTD0VzfTp02nRooXacYTItho0aMCs33/n9YXthN48qnYc8RksKjQnPCyc1atXf9L2sbGxHDx4kM6dO5M3b15GjRpFoUKF2LVrFz4+PkydOjVNCm5425pdtGhRHBwcktWC7ujoiKmpafy0YuvWrSN//vxcu3aNq1evxt/mzJnDqlWriImJSXJfHh4eNG/enGnTpjFgwIBE99eoUYNDhw4lWHbw4EEqV66cZNYaNWpw8+ZNfH19E2xjZGREpUqVEq3v5eXFhg0b+Pnnn4G3r8W7a9p1Oh2xsbEfeUaEEFJ0C5GKlixaSM2ChpS2k26QmZXnPzH02x1Nbze3JOdZFUKkn+HDh9OrlxuvDiwgyvfT54YV6jLIkQvT4jWYPXcecXFxyd7u0aNHTJgwgUKFCtGkSROuX7/OlClTePbsGdu2baNFixbxXbbVMHHiRMaOHYuHhwePHj3iypUr9OnTB51OR6NGjYC3Xcvbt29P6dKlE9z69OlDcHAwe/bsee++3xXcw4cPp127dvFzFQcFBcWvM2jQIJ48ecKoUaPw8vLC3d2d5cuXM2bMmPh1tm/fTokSJeJ/bty4MaVKlaJHjx5cuXKFI0eOMGbMGPr370+OHDkSZFAUhQEDBjB79mzMzc0BqFWrFsuWLcPLy4vVq1dTq1atVHs+hciqpOgWIpU8ePCAQ0eOMqCCvK0yK5+QOFpv1lGlSjUWLV6caeeUFSIr0Wg0LF68iArlyxH092RiQ1+pHUl8IvMKzXlw7y4nTpz44HoRERGsW7eOBg0aULhwYebMmUPTpk05e/Yst27dYvTo0djZ2aVT6g9zdXXl4cOH9OzZkxIlStCsWTP8/Pw4ePAgTk5OXLp0iWvXrr13TmsLCwsaN26c5IBqK1euJDw8nKlTp5InT574W9u2bePXKVSoEHv37sXDw4Py5cvzyy+/MG/evATHCwkJwdvbO/5nfX199uzZg7GxMbVq1aJjx460bt2amTNnJsqwdOlS7O3tE/T6mjhxIpGRkVSrVo2iRYsyZEj6zAstRGYm83QLkUq+/fZblsz/necjTTCR67kznehYhToro3ihycX5i5czzBc6IcRbz58/p0LFSoQaWmPbaTIafRmsMrNRFAX/5YNo26Qu69atTXTfpUuXcHd3Z/369YSEhODq6kqfPn1o165diuez/hQyr3TqkuczbSR3XmiRPpL7ekiTnBCpIDo6mhXLl9GztJ4U3JnU+MNRXPGLY9OWbVJwC5EB5c2bl793bEfnd5+gQ4vly3wmpNFoMC7TiM1btsR3kQ4MDGTu3LmUL1+eKlWq8PfffzNkyBDu3buHh4cHPXv2TJeCWwgh0pKMXi5EKvj777/xDwhiQAf5YpAZ7fTWMetsNLNnz6Zq1apqxxFCJKF69eosWbKYPn36YGhfBIsKX6gdSaSQeekGhJxcw7p16xg2bBiurq7cvXuXVq1aMXXqVJo0aYK+voyLIsSn8PHxSXJ+9tRma2tLwYIF0+VYWYF0LxciFTSsX4/Ih2c45SbdfDKbJ8FxVFgWiUvDZmzf8bdcxy1EJjBs2DAWLlqMfY9ZGNoXVjuOSKGAHVNw0L7h5vVr3LlzB1tbW3LlyqV2LOkOncrk+UwbSXVn9vHxoWQJJ8IjItMlh6mJMV53vFNUeLu5ubFq1SqmTp3Kt99+G798x44dtGnTBkVR8PDwoF69erx69YqcOXOmQfLUldzu5dLSLcRnun//PkeOebC6tRTcmY0uVqHztmhy2NizYuUqKbiFyCRmzpzJMY/jPNg7C7ses9EYyPXdmYlpmUbc3jKJq1evUqFCBbXjCJElBAQEEB4Rydo2JpTMlbZXEHu9jKP79ggCAgJS3NptbGzMb7/9xsCBA7GyskqjhBmPFN1CfKalS5diZWpA+1LypS+z+e5IFBd9Yzl1amu2+uAXIrMzMjJi/bq1VK5cheBTa7Gq21vtSCIFTApVxNDCmpUrV0rRLUQqK5lLj4p5Mu4lGg0bNuT+/ftMnTqV6dOnqx0n3chAakJ8htjYWNauXkl3GUAt0zn8MIaZntH89tt0qlWrpnYcIUQKlS1bll9//YXX57cR+fSW2nFECmj09DEuWZfVa9YSHR2tdpx4Dg4OaDQauaXSzcHBQe2XVGRA+vr6TJkyhfnz5/P06VO146QbKbqF+AweHh74vnhJtzLSaSQzeR2l0He3jvp1XRk5cqTacYQQn2j06NFUr16D4H1ziIsKVzuOSAGzMg0JfhXErl271I4S7/HjxyiKIrdUuj1+/Fjtl1RkUG3atKF8+fL89NNPakdJN1J0C/EZ1q9bRxFbQ6rmy7jdeERiYw5GEhRtwPIVK9HTk49BITIrfX191q5ZjV7ka14dW652HJEChrYFMclbnHXr1qkdRQihgt9++41Vq1Zx+/ZttaOkC/m2KcQnioyMZOvWzXQthQzAlYkcfBDDsss6Zv4+G0dHR7XjCCE+U5EiRZgzexah1w4Q/uCC2nFEChg71WbP3n28efNG7ShCiHTm4uJCkyZN+O6779SOki6k6BbiE+3bt4+Q16F0KS0DqGUWIZEK/XbraFi/HgMGDFA7jhAilfTv358mTZsScmAeseEhascRyWRaojbRUZHs3LlT7ShCCBVMmzaNXbt2cebMGbWjpDm5EFWIT7Ro4UJym+vhYCmt3JnF6INRBMdoWb5ipfROECIL0Wg0rHB3p2QpZ14dWohNq2/lPZ4JGOSwwzR/STb89RfdunVTO44QWYLXy7hMc4wyZcrQrVs35s+fnyr7y8ik6BbiE4SGhnLM4xgxMXHknB5OUSvoV1HL0CpaDA2kA0lGdPBBDMuvRLNs2R8pnlNSCJHx5cmTh6VLFtOpUydMip3ArJSr2pFEMhg51ebA/pUEBweTM2dOteMIkWnZ2tpiamJM9+0R6XI8UxNjbG1tP3s/v/zyC5s2bUqFRBmbRlEURe0QQmQ2mzZtolOnTuz8uR2nbz1j3dFbPH35BkMDPUrawKDKWvpV1GIgg3RlCFExCqWXRFGwdA0OHz0mLWBCZGHt27dn1yEP7PssQs/IVO044iNi3gTybJEbK9zdcXNzUzuOEBleZGQkjx49olChQhgbGye4z8fHh4CAgHTJYWtrK40YfPj1+DcpuoX4BB06tOfRdU8u/tETAEVROH/Hl43HvVh35Bb+weEYGehRJhcMr2ZItzIGMkq2iiafiGLiyRiuX79ByZIl1Y4jhEhDT548obhTCYwrtMTKtZfacUQyvNwwntol83Jg/361owiR4SW3yBPpI7mvh1QBQqRQWFgYe/fupX2dYvHLNBoN1UrmZdagBvhuHMbx37vSt1l5HoQa0nNHJGbTwqnlHso2Lx1ynit9+YTEMfl0DCNHfi0FtxDZgIODA9+OG0voxR3ogv3UjiOSwdipNkeOHCEwMFDtKEIIkSak6BYihfbv3094eATtaju99349PQ0uZQvyx/DG+G8ezqHfOtOtQWluBBjQblME5tPCqL8qjP33demcPHsadTAaK2sbJkyYoHYUIUQ6GTt2LPZ2doQcc1c7ikgGU6eaxMXGsW3bNrWjCCFEmpCiW4gU2rJlM+WK5qZYfuuPrmugr0fDio78OfoLAraOYPev7WlTpyTnfPVoti4Ci2mhfLEujFM+MemQPPs59CCGrbejmTlrDhYWFmrHEUKkEzMzM36fOYOwu2eIeHxV7TjiI/TNrDBxKMOmzZvVjiKEEGlCrukWIgUiIiKwy5WLbztU4vtuNT99P1E69p1/yF8eXuz0vEeULhZLYz3qOmj4wcWIynllYoHPFR2rUHZJFLlLVOXY8RMyeJoQ2YyiKNSsVZurD55j12suGj19tSOJD3h98W9CT6wiKCgQc3NzteMIkWHJNd0Zi1zTLUQaOHjwIKFhYbR3eX/X8uQyMdLSto4Tm35sTcDWEawf3wqXCoXZc1+hyrJwrKeH0nlLOLf8pQX8U/1xPpr7QTHM/2OhFNxCZEMajYYF8+cR9fIJoVdlgK6MzqRIVXS6aA4fPqx2FCGESHVSdAuRAlu3bsW5kB1OBWxSbZ/mJoZ0qV+KnT+35+WW4awY8wVVSjmw+XYsZRaFk2tGKL13hPMwKC7VjpnVvY5SmHw6lj69+1CmTBm14wghVFKpUiXc3Nx4c3odsRFv1I4jPkBrlQeTXAXYvXu32lGEECLVSfdyIZJJURTy5slNr7qFmdavbpofLyAknG2n7rLu6G1OXvcBDdiZ6dHGSZ8fXIzIl0POmSVlokck0zwV7j94SP78+dWOI4RQ0YsXLyhStCh6xeti3WiQ2nHEB7w6uhwjH0/8nj+TaTaFSIJ0L89YpHu5EKns9u3b+L3wp0EFh3Q5nq2lKQOal+f471159tdQ5n7VkEIFcrP4ko6Cc8LIP/sNX++PICBcWsD/7WVYHL+fjWXY8BFScAshsLe3Z+JPPxF6dR/RL5+oHUd8gEnRKrx84ceVK1fUjiKEEKlKRmsSIpkOHz6ModaAWs7pX8jlsTFnWOvKDGtdGR//EDYdv8P6o7eZc+4F8y/EkN8CupXRMq6WITmMs/e5tCkno9EzNObbb79VO4oQIoMYPnw4c+cv4JXnRmxbjVU7jkiCUb5SaE3M2b17N5UqVVI7jhCZjo+PDwEBAelyLFtbWwoWLJgux8oKpHu5EMnUqmVL3jy9wbEZXdSOEu/+s1ds9PBi3dFbePkEYqCvwdESepUzZFR1LaaG2asA9wmJo9iCcH6YMJEff/xR7ThCiAxk0aJFDBkylDz9FqG1zqd2HJGEgJ2/UdwknMuXLqodRYgMKanuzD4+PpQsWYLw8Ih0yWFqaoKX150UF95+fn5MnjyZPXv28OzZM+zs7ChfvjwjR46kQYMGODo68uTJEzw9PalevXr8diNHjuTq1at4eHgAMHHiRCZNmgSAnp4eefPmpUmTJkydOpVcuXKl2uP8mOR2L5eWbiGSISYmhuPHjzO2XQW1oyRQNJ8V33eryffdanL7SQAbPbxYe+QWPx4L5ucTOopaQb+KWoZW0WJokPUL8EkeUVha5mTkyJFqRxFCZDC9e/fmp4mTeH1uKzbNhqsdRyTBuHAVruyZhZ+fH7lz51Y7jhCZRkBAAOHhEaz9tiUlC6begL/v4+UTSPdpuwgICEhR0f348WNq1apFzpw5mT59OmXLlkWn03HgwAGGDBnCnTt3ADA2NmbcuHEcP378g/tzdnbm8OHDxMbGcuXKFfr27cuzZ8/Yt2/fZz2+tCBFtxDJcPHiRV6/eZNu13N/ilIOtkzqVYeJPWtz9cELNnrcYe2RW4w++IbxR3WUtIFBlbX0q6jFIAsOUPPoVRyrrscw8/cfsbCwUDuOECKDMTY2Zuw3Yxj37Xgsa3XBIEf6tYSI5DMpXAmNRo+9e/fSp08fteMIkemULGhDxWIZ84TVV199hUaj4fz585iZmcUvd3Z2TvB+HzhwIIsWLWLv3r188cUXSe7PwMAg/uRcvnz5GD58OBMmTCAiIgITE5O0eyCfIOt98xYiDRw5coQcZsZUdsqjdpSP0mg0VCiam2n96vLP+q84O68nX7WqiG+UMYP3RGE+NZwqS0NZcy2auLisMwjb755RWOXMyYABA9SOIoTIoAYOHIi5uTmvz29XO4pIgr6pJSZ5inL06FG1owghUlFQUBD79+9nyJAhCQrud3LmzBn/f0dHRwYNGsT48eNT9F3VxMSEuLg4YmJiUiNyqpKiW4hkOHzoEK5lC2Cgn7neMhqNhmol8zJ7cEN8Nw7j+O9d6dOsHA9CDem5IxKzaeHUdg9lm5eOzDy8w8uwONyvxTFsxEhMTU3VjiOEyKAsLCz4euQIwm8cIDYsWO04IgkG+Utz6MjRTP13SQiR0P3791EUhRIlSiRr/R9++IFHjx6xbt26ZK1/584dFi1aRNWqVTNkj8fMVUEIoYLw8HDOeJ6hQfnMPUKjnp4Gl7IFWTi8Cf6bh3NwWie6NSjN9QAD2m2KwHxaGPVXhbH/vk7tqCm24Hw0Gn0tQ4YMUTuKECKDGzZsGIYGBry+tFPtKCIJxgXL4O/ny71799SOIoRIJe9Oomk0mmStnytXLsaMGcOECROIjo5+7zo3btzA3NwcExMTSpUqRYECBZJdpKc3KbqF+IjTp08THa2jYUVHtaOkGgN9PRpVKsSfo78gYOsIdv3SnjZ1SnLWV0OzdRFYTAul2dowTvlkvO45/xUWrbDgUhz9+g/AxiZtBw4RQmR+NjY2DPlqMOFX9hAXFaZ2HPEeRvmd0ejpc+zYMbWjCCFSSbFixdBoNHh5eSV7m1GjRhEREcHChQvfe7+TkxNXr17l9u3bREREcPToUYoWLZpakVOVFN1CfMSRI0fIbZODUg62akdJE4ZafVpUL8rab1sSuHUEWye0oWnVYhzzgTorwrH8LZQ2f4Vx8XnGLMCXX4kmJDKOr7/+Wu0oQohMYtSoUWhidby5vEftKOI99IxMMclbjKNHpegWIquwtramSZMm/PHHH4SFJT7hGRwcnGiZubk5P/74I5MnT+b169eJ7jc0NKRo0aIUKlQIIyOjtIidamT0ciE+4sjhQ9Qvlz/Z3WEyMxMjLW3rONG2jhOhEdHs8rzP+mO32X3hITu8w7Ey0aNxYT1+dDHE2U79jw9drMLv5+Lo3Kkzjo6OascRQmQSefLkoW/fPixfswGLyq3Q0yY9t6pQh0H+0hw5dgxFUbLF318hUouXT2CGPcbChQupWbMmVatW5eeff6Zs2bLExMRw6NAhFi1a9N5W8AEDBjB79mw2bNhAtWrVPje6atT/1ixEBhYUFMSly1cYPKqp2lHSnbmJIV3ql6JL/VIEh0ay4/RdNhzzYvPlx2y6FY6NqR7Ni+kxwcWYwtbqdJrZcScGn1c6vhk7VpXjCyEyr7Fjx7J02TLCbhzBomJzteOI/zAuWBb/s1u4c+cOJUuWVDuOEBmera0tpqYmdJ+2K12OZ2pqgq1tynqBFipUiMuXLzN58mRGjx6Nr68vuXLlolKlSixatOi922i1Wn755Re6du2aGrFVo1FkaEghkrRt2zbatWvH47WDcbC3VDtOhhAQEs7Wk96sP+bFyes+oAE7Mz3aOOnzg4sR+XKkXwHecE0kkfYVOXXGM92OKYTIOr5s3ZpDZ2+Qq9dcaU3NYOKiI3k2rzPz583lq6++UjuOEBlGZGQkjx49olChQhgbJ+yl4+PjQ0BAQLrksLW1pWDBzD3IcGr40Ovxb9LSLcQHHDlyhKL5baTg/hdbS1MGtqjAwBYV8A0MZfOJO6w/epvFl56z9HIMecyho7OW7+oYYmuadgX4/aA4jjyMZvVE+TImhPg0gwcNYuffzYj2vYtRXie144h/0TM0xjhvcY4ePSZFtxDJVLBgQSmEMyhp6RbiA0o4FaduMTMWj8x+3ctTysc/hE3H77DuyG2uPniBvp6G/BbQrYyWcbUMyWGcugX42EOR/HnLmGe+fpiYmKTqvoUQ2UNsbCwOhQoTYuWETbMRascR//Hq+CoMH57A389XeiII8T/JbVkV6SO5r4eMXi5EEp49e4b33Xs0qOCodpRMoaCdJWM6VOPK4t7cWzmQST3rYGJpzZRT0djMDKPY/Df8eiKK8Oi4zz5WVIzCiutx9OrdRwpuIcQn09fXZ9CA/kTcOSnTh2VARnmdCPB/wdOnT9WOIoQQn0WKbiGS4On59jphl7IFVE6S+RTNZ8X33Writbw/N5f1ZXznGsQaWvLjsShyTg+n5B+hzPKMIjrm0wrwHXdiCAiNYcCAAamcXAiR3fTp0wclVkfYLQ+1o4j/MMxTHIDz58+rnEQIIT6PFN1CJOHq1avksc2BvZWZ2lEyNWfHXPzs5sKD1QO5vMiNr9tV4Q1mjD4YhcVv4ZRbHMqSi1HExCW/AF9yORaX2rVkRFshxGfLmzcvX3zxBZG3j6gdRfyHgbk1xjntOHfunNpRhBDis0jRLUQSrl65QvnCudSOkWVoNBoqFM3Nb/3r8c/6r/Cc24OvWlXEL8qYQXuiMJ8aTpWloay5Fk3cBwrwB0FxHHsUzYBBg9MxvRAiK+vt5kb4s7voAv5RO4r4Dz37onielaJbCJG5SdEtRBKuXr1C+cJ2asfIkjQaDdVL5WP24Ib4bhzG8d+70qdZOR68MaTnjkjMpoVT2z2Urbd1iQrwDTd1mJuZ0KZNG5XSCyGymubNm5PDMieht6S1O6MxzOPEpUuXiI2NVTuKEEJ8Mim6hXiPgIAAnj33pXxRKbrTmp6eBpeyBVk4vAn+W4ZzcFonujYozfUAA9pvjsDit3DqrwrjwH0diqKw7pZC69ZtMTU1VTu6ECKLMDIyonu3rkR5eaDESXGXkRjlKU5EeBi3b99WO4oQQnwyKbqFeI9r164BUE5autOVgb4ejSoVYvnoLwjYOoJdv7Snde0SnPXV0HRdBBbTwrjjH03Xbt3UjiqEyGJ69uxJVEgAkT431I4i/sUwd1E0Gj0ZTE0IkakZqB1AiIzo6tWrmBobUjSvldpRsi1DrT4tqhelRfWiRETp2Hv+AT+sOIFvcBQNGzZUO54QIoupWrUqRYoVx++WByaO5dWOI/5Hz9AEE3sHzp8/T9++fdWOI0SG5uPjQ0BAQLocy9bWloIFC6bLsbICKbqFeI9r165RtrAd+vrSGSQjMDHS0ra2E+OWn6RDpy5otVq1IwkhshiNRkP7tm2Y/ccSFCUOjUY+/zMKPbtinPGUwdSE+BAfHx+cSjgRGRGZLsczNjHG+453igpvNzc3goOD2bFjB25ubqxatQoAAwMDChQoQNu2bZk0aRJmZmY8fvyYQoUKoa+vz5MnT8iXL1/8fnx9fSlQoACxsbE8evQIR0fH1H54qU6KbiHe4+qVS9QsZKt2DPEv1x748+BZIH+0b692FCFEFtWiRQt+++03on3vYZTXSe044n+0doXwPu5BTEwMBgby1VWI9wkICCAyIpL8A/JjlNcoTY8V9TyKp0ufEhAQ8Fmt3U2bNmXFihXodDpOnjxJv379CAsLY9GiRfHr5M2bl9WrVzN+/Pj4ZatWrSJfvnz4+Ph81uNIT3IaV4j/iIqKwuvOXcoXsVc7iviXLSe9scppSf369dWOIoTIoqpXr45lTisiHlxQO4r4F0NbB3S6aO7fv692FCEyPKO8Rpg4mqTpLbWKeiMjI3Lnzk2BAgXo2rUr3bp1Y8eOHQnW6dWrFytWrEiwbOXKlfTq1StVMqQXKbqF+I/bt28TExND+SIyiFpGoSgKm0/epXXrNtK1XAiRZgwMDGj+RTOiH11UO4r4F20uBwBu3rypchIhRFoyMTFBp9MlWNaqVStevXrFqVOnADh16hRBQUG0bNlSjYifTIpuIf7j6tWraDQayhTKpXYU8T/3nr3i7j8BtGnbVu0oQogsrkWLFkT43ifmTfoMRiQ+Tt/UEkMLK27duqV2FCFEGjl//jzr16+nQYMGCZZrtVq6d++Ou7s7AO7u7nTv3j3TNcJI0S3Ef1y9epVi+W0wMzFUO4r4n8OXH2NgYEC9evXUjiKEyOKaNGmCnr4+EQ+ktTsjMbAuKC3dQmQxu3fvxtzcHGNjY2rUqIGLiwvz589PtF7fvn3ZvHkzfn5+bN68mT59+qiQ9vNI0S3Ef1y7eoXyhaWVOyM5cuUJ1apWwdzcXO0oQogsztramho1ahL1UK7rzkj0bQty5ZrMoS5EVvJ/7N13XFX1H8fx171c9pKlyEZx4N47986VVu6Re4/UzDQzV2WaZo7KvVIzR0Nz7z1RcytLEBUEZI/Lvb8/UIqfCxU4F/k8H4/7KLjnnO/7gsD9nO9q0KABfn5+XL9+naSkJDZv3kzBgk9P7yxTpgwlS5akc+fO+Pr6UqZMGQXSvhkpuoX4D71ej5+fn8znNiBpaTr2X7xD4yZNlY4ihMgn2rRuRVLQBXSpyUpHEY8ZO3oS4H+LpKTc2Q5JCJHzLC0t8fHxwdPT86XDxXv37s2BAwfyZC83yJZhQmQSFBTEo5hYKboNiN/tB0TFJDw1x0cIIXJKq1atGDduHMnBlzAvWkXpOIL0oluXlsb169cpX7680nGEMFjJd3P+ZmFutPH/+vXrxwcffECBAgVyve3sIEW3EP9x4cIFAMoXkaLbUOw9H4iFhTnVq1dXOooQIp/w9fXF3dOLqNunpeg2ECZO6XsB//PPP1J0C/EMjo6OmJmbEfJzSK60Z2ZuhqOj4yudo9Pp0Gher/zUaDSv3J4hkaJbiP+4cOECjgWsKOwgc4cNxZ7zwdR9py4mJrKwnRAid6hUKtq2bsWStb8pHUU8pja1xNTWkWvXrikdRQiD5OHhwfVr14mIyJ2dFxwdHfHw8Hilcx48eICPjw+Qvtf2i3h5eaHX65/7fIUKFV74vKGRoluI//D396eYqx0qlUrpKAJITtFy5J8Qpk4frHQUIUQ+U79+febPn482LhKNlb3ScQRgZFOIgIAApWMIYbA8PDxeuRDODVFRURw7dowDBw4wcOBApeMoQopuIf4j5E4w7o6WSscQjx2/GkpicorM5xZC5Lpq1aoBkBJ2A02xGgqnEQAq20LcuHVb6RhCiFfUu3dvTp8+zejRo2nbtq3ScRQhRbcQ/3HnTjDly0mPhqHYez4IRwd7ypUrp3QUIUQ+4+bmhmPBQiSH3cBCim6DoLEthP+NvUrHEEK8oi1btigdQXGyZZgQj+n1eu6EhOJe0EbpKOKxfX53aNCwIWq1/KoSQuQulUpFzerV0N67qXQU8ZimgDMPwx+QkJCgdBQhhHgl8k5WiMeioqJITEzC3cla6SiC9P25z9+6T40aNZWOIoTIp2rUqEFK2A30ep3SUQTpRTcg87qFEHmOFN1CPHbnzh0A3Bylp9sQ3AyNIjE5hQoVKigdRQiRT1WrVg1tUjzayFClowjSh5dD+qKnQgiRl0jRLcRjT4pu6ek2DH637wPIfqxCCMVUqZK+R3dy2A2FkwgAIyt71BoT6ekWQuQ5UnQL8VhISAgajRGF7GT1ckNwwf8Bbq4uODg4KB1FCJFPFShQAJ9iJUi+K0W3IVCp1JjaO0tPtxAiz5GiW4jH7ty5g4ujDUZG8mNhCPxuh1OhQkWlYwgh8rlaNaujuy+LqRkKlXVBbt+WolsIkbfIlmFCPBYSEoK7o5XSMcRjfv7h9G3WWekYQoh8rlq1aqxZ+wt6bQoqjYnScfI9taU9IaEyx16IZwkODiYiIiJX2nJ0dMTDwyNX2nobSNEtxGN3goNxk6LbINyPiufewxhZRE0Iobhq1aqhS9OSct8fU9eSSsfJ94ws7QgLvKx0DCEMTnBwMCV9S5KYkJgr7ZlbmHPt6rVXKrx79epFdHQ0W7duBeDevXtMnz6dbdu2ERoaSsGCBalQoQIjR46kUaNGAHh5eTFy5EhGjhyZA68i90jRLcRjd+4EUbmSk9IxBHDh9gNAFlETQiivXLlyqFQqUiKCpOg2AEZWdjyMeIBer0elUikdRwiDERERQWJCIh/N6URhn4I52lbYrQcsH7WeiIiI1+7tDgwMpHbt2hQoUICZM2dSrlw5UlNT2blzJ0OGDOHatWvZnFpZUnQLAej1ekJC7+LerKjSUQTpK5dbWVlSpEgRpaMIIfI5U1NTChV2JeHRfaWjCEBtUQBtaipRUVHY29srHUcIg1PYpyAeZdyUjvFSgwcPRqVScerUKSwt/13EuHTp0vTu3VvBZDlDVowSAnj48CFJScm4Ocp2YYbA7/YDypcrh1otv6KEEMrzKVoEbfQ9pWMI0nu6Ae7fl5sgQuRVkZGR7NixgyFDhmQquJ8oUKBA7ofKYfKOVgj+s0d3QRuFkwiAK3eiKFO2nNIxhBACSC+6iX2gdAwBGFkUANLnggoh8qZbt26h1+spWTL/TNmRotsAeHl5oVKp5PEKDy8vr2z9HoSEhADg7iQ93YbgzoMYPD09lY4hhBAAFCkiPd2GwshSerqFyOv0ej1AvlqXQeZ0G4CgoKCMf3wia7L7h/TOnTsYa4woWODpIS4idyUkpRIZE4+7u7vSUYQQAkgvulPiotGlJKI2MVc6Tr6mMjHHyMRUim4h8rBixYqhUqm4evUq7dq1UzpOrpCebiGA0NBQXBxtUKvzzx03Q3UnPAYANzfDXwRECJE/PFnUUSuLqSlOpVJhYmUvw8uFyMPs7e1p1qwZCxYsID4+/qnno6Ojcz9UDpOebiGAqKgo7KzNlI4hgJDwWADp6RZCGAxvb28AtNH3MHHyUjaMQGVhS3h4uNIxhDBIYbdyfv2J7Ghj4cKF1KpVi2rVqjFlyhTKlSuHVqtl9+7dLFq0iKtXr2ZDUsMhRbcQQGxsLNbmxkrHEPzb0+3q6qpwEiGESFeoUCFMzcxlXrehMDYnJiZG6RRCGBRHR0fMLcxZPmp9rrRnbmGOo6PjK52j0+nQaNLLT29vb86dO8f06dMZPXo0YWFhODk5UblyZRYtWpQTkRUlRbcQPC66zaToNgR3wmNxcnTAzExGHgghDINKpcLTy4swGV5uGIzNefTokdIphDAoHh4eXLt6jYiIiFxpz9HREQ8Pj1c658GDB/j4+GR8XLhwYebPn8/8+fOfe05gYODrRjQoUnQbuHv37jF9+nS2bdtGaGgoBQsWpEKFCowcOZJGjRoB6aufBwUFcfz4cWrUqJFx7siRI/Hz8+PAgQMATJ48mS+//BIAtVqNi4sLzZo146uvvsLJyemZ7cfGxvL555+zZcsWHjx4QMWKFfn++++pWrXqczMfOXKEcePGce3aNRISEvD09GTAgAGMGjUq45jdu3czZMgQ7t+/T7t27Vi8eDEmJiYAPHr0iKpVq7Jnz55X/mF+XXGxMThamORKW+LFQiJicXOTXm4hhGEpVrQoIdekp9sQqEwsiI6JVTqGEAbHw8Mj1947v4qoqCiOHTvGgQMHGDhwoNJxFCELqRmwwMBAKleuzL59+5g5cyaXLl1ix44dNGjQgCFDhmQ61szMjHHjxr30mqVLlyYsLIzg4GAWLVrEn3/+SY8ePZ57fN++fdm9ezerV6/m0qVLNG3alMaNGxMaGvrccywtLRk6dCiHDh3i6tWrTJw4kYkTJ/Lzzz8D6UNLunbtysCBAzl27BinTp1i8eLFGeePGzeOgQMH5uovjdjYGKzNpeg2BHfCY3H3kO3ChBCGpUgRb4iTecSGQG0qPd1C5CW9e/dmwIABjB49mrZt2yodRxHS023ABg8ejEql4tSpU1ha/ruVVenSpendu3emYwcMGMCiRYvYvn07LVu2fO41NRoNzs7OQPqc2eHDhzNp0iQSExMxN8+8DUpiYiKbNm3i999/p27dukB6b/nWrVtZtGgR06ZNe2YbFStWpGLFihkfe3l5sXnzZg4fPkz//v2JiIggPDycwYMHY2ZmRps2bbhy5QoAR48e5cyZMyxYsOAVvlJvLjY2FmsP21xtUzxbSEQ8dasa3l1aIUT+Zm9vjy7p6VV2Re5TmVgQez9O6RhCiCzasmWL0hEUJz3dBioyMpIdO3YwZMiQTAX3EwUKFMj0sZeXFwMHDmT8+PHodLost2Nubo5Op0Or1T71nFarJS0t7am5tebm5hw5ciTLbZw/f55jx45Rr149AJycnChcuDC7du0iMTGRw4cPU65cOVJSUhg0aBA//vgjRkZGWb5+dkhfSE16ug3BnfBHsl2YEMLg2NjYoE2WotsQqE3MiYuVhdSEEHmH9HQbqFu3bqHX6ylZsmSWz5k4cSLLly9n7dq1dO/e/aXHX7t2jUWLFlGtWjWsra2fet7a2pqaNWsydepUfH19KVSoEOvWrePkyZMUK1bspdd3c3MjPDwcrVbL5MmT6du3L5C+IM2vv/7KqFGjGDFiBC1btqR379589dVXNGrUCHNzc2rXrk1ERATDhg1j6NChz23jwIEDzJo1C3NzcywsLLCwsMj0////+P/nSpYsiZGREbGxcVjLnG7FadN0RMcmUqhQIaWjCCFEJtbW1miTE9HrdahU0mehJLWpBbHxcej1elQqldJxhBDipaToNlB6vR7glf6YODk5MWbMGCZNmkTHjh2fecylS5ewsrIiLS2N5ORk6tevnzHX+llWr15N7969cXV1xcjIiEqVKtGlSxfOnTv30jyHDx8mLi6OEydO8Omnn+Lj40Pnzp0BqFOnDqdPn8449saNG6xevZrz589Tt25dRo4cSfPmzSlTpgx169alXLlyz2zDxMQEExMTYmNjuX//PgkJCc98PPl6/r+pU6cyYcIE4uITsDKToltpsQkpAM+8CSSEEEqytrYGvR59ShIqUwul4+RrKhNz0rRakpKSnpoaJ4QQhkiKbgNVrFgxVCoVV69epV27dlk+7+OPP2bhwoUsXLjwmc+XKFGCP/74AyMjI1xcXDA1NX3h9YoWLcrBgweJj48nJiaGwoUL07FjR7y9vV+a5ckxZcuW5f79+0yePDmj6P4vvV5P//79mT17NjqdjvPnz/P+++9jYWFBvXr1OHjw4HOL7lq1arF58+YX5tDr9aSkpDyzGK9YsWLGMHpzU/lxUFpsYjIgRbcQwvDY2NgAoEtJRC1Ft6LUJumFdmxsrBTdQog8QcZHGSh7e3uaNWvGggULiI9/eg5ZdHT0M8+zsrLi888/Z/r06cTEPD3fycTEBB8fH7y9vV9acP+XpaUlhQsXJioqip07d77yyoN6vZ7k5ORnPrd06VIcHBxo06YNaWlpAKSmpmb898nnXpdKpcLU1BQ7OztcXV0pVqwY5cuXp2bNmpiZmWXkMtHk7jxy8TTp6RZCGKonv5f0KYkKJxEqTfr7l4SEBIWTCCFE1kjXngFbuHAhtWrVolq1akyZMoVy5cqh1WrZvXs3ixYt4urVq888r3///syZM4d169ZRvXr1N8qwc+dO9Ho9JUqU4NatW4wdO5YSJUrw0UcfZRwzfvx4QkNDWbVqFQALFizAw8MjYz76kSNHmDVrFsOGDXvq+g8ePGDatGkcPXoUADs7O3x9fZk7dy5NmzZl7969fPbZZ2/0Gl7mSdFtaixFt9Kk6BZCGKp/e7ql0FOcOr3P6E1vygvxtgkODiYiIiJX2nJ0dDTIPcENlRTdBszb25tz584xffp0Ro8eTVhYGE5OTlSuXJlFixY99zxjY2OmTp1Kly5d3jjDo0ePGD9+PCEhIdjb29OhQwemT5+OsbFxxjFP9v1+QqfTMX78eAICAtBoNBQtWpSvv/6aAQMGPHX9ESNGMGbMGFxdXTM+t2LFCnr27Mm8efMYO3Ys1apVe+PX8SIZRbeJFN1Ki0tKH+FgZWWlcBIhhMjsyc1AnfR0K06lTv97LUW3EP8KDg7Gt0QJEpKScqU9CzMzrl6/LoV3Fqn0z1thSuQalUr13IW+xLNl59csMDAQb29vdn/TicaVvLLlmuL1bDt5i1YTf+Pu3bsULlxY6ThCCJEhIiICJycnnN6bgEXxmkrHydeSQq5wf+0nXL58mVKlSikdR4hclZSUREBAAN7e3pm29T137hyVK1fmm8KFKWqS9Smkr+N2SjLjwsI4e/YslSpVeqVz7927x/Tp09m2bRuhoaEULFiQChUqMHLkSBo1aoSXlxdBQUGsW7eOTp06ZTq3dOnSXLlyheXLl9OrV6+Mz58/f54ZM2Zw6NAhHj16hIeHB/Xq1WPs2LEUL14cgE2bNjFz5kyuXbuGTqfDw8OD5s2bM3v27KcyPhlte/ToUWrUqPHC1/O878f/k55uke/J8HLDkZyS3mvxKusNCCFEbpCebsPxZMs26ekW4mlFTUwp9YLiT0mBgYHUrl2bAgUKMHPmTMqVK0dqaio7d+5kyJAhXLt2DQB3d3eWL1+eqeg+ceIE9+7dw9LSMtM1//rrLzp06ECzZs1Yu3YtRYsW5cGDB2zcuJHPP/+cDRs2sGfPHjp16sSMGTNo06YNKpWKK1eusHfv3qcyBgcHc/z4cYYOHcrSpUtfWnRnlRTdIt+TottwJKemv4EyMZHt24QQhsXU1BRjYxNZSM0QyPByIfKkwYMHo1KpOHXqVKbiuXTp0vTu3Tvj465duzJnzhzu3LmDu7s7AMuWLaNr164Za0hB+mKKH330ES1btmTLli0Zn/f29qZ69eoZC0//9ddf1KlTh7Fjx2YcU7x48WfuELV8+XJatWrFoEGDqFatGnPnzn2q0H8dsnq5yPdk9XLDkZyqBaSnWwhhmIxNTNBrU5SOke+pHi+kptVqFU4ihMiqyMhIduzYwZAhQ55ZxBYoUCDj/wsVKkSzZs1YuXIlkF5cb9iwIVNhDukLPkdERPDJJ588s80n13R2duby5cv8888/L8yo1+tZvnw53bp1o2TJkhQvXpxff/31FV7l80nRLfK9lJT0N1Am0tOtuBStDgCNRgbhCCEMT2pqKiqN8csPFDlLerqFyHNu3bqFXq/P2N3oZXr37s2KFSvQ6/X89ttvFC1alAoVKmQ65ubNmwAvveawYcOoWrUqZcuWxcvLi06dOrFs2bKntjPes2cPCQkJNGvWDIBu3bqxdOnSLL7CF5OiW+R7T4Yyp2rlj7fSjNQqAFlYUAhhcPR6PakpyaCWm4KKU0lPtxB5zZP3diqVKkvHv/vuu8TFxXHo0CGWLVv2VC/3f6/5MpaWlmzbto1bt24xceJErKysGD16NNWqVSMh4d9tIJcuXUrHjh0zOn86d+7MyZMnuX79epbaeREpug2Ap6cnKpVKHq/w8PT0zLav/5OVBhOT5Y+30sxM0n/JJeXSdhdCCJFVqanpWxpKT7fyZCE1IfKeYsWKoVKpuHr1apaO12g0dO/enS+++IKTJ0/StWvXp455sjL5kwXYXqZo0aL07duXJUuWcO7cOa5cucKGDRuA9OHvW7duZeHChWg0GjQaDa6urmi1WpYtW5bFV/l8UnQbgMDAQPR6vTxe4REYGJhtX39zc3MAElOk6Faa+eOiOzFRFioSQhiWJ1ORVEZSdCtNr0svtmUqkhB5h729Pc2aNWPBggXEx8c/9fyTRc/+q3fv3hw8eJC2bdtiZ2f31PNNmzbF0dGRmTNnPrPNZ13zCS8vLywsLDKyrF27Fjc3Ny5cuICfn1/GY+7cuaxcufKNR9bIbyuR72UU3dLTrThzUym6hRCG6cncP5WRvHVSmj4tfdSBLLopxNNupyS//CCF2li4cCG1atWiWrVqTJkyhXLlyqHVatm9ezeLFi16qhfc19eXiIgILCwsnnk9S0tLlixZwgcffECbNm0YPnw4Pj4+RERE8OuvvxIcHMz69euZPHkyCQkJtGzZEk9PT6Kjo5k3bx6pqak0adIESB9a/v7771OmTJlMbXh6ejJu3Di2bdtG27ZtX+t1gxTdQmQU3UnS0604KbqFEIbq36JberoVlyY7XQjx/xwdHbEwM2NcWFiutGdhZoajo+MrnePt7c25c+eYPn06o0ePJiwsDCcnJypXrsyiRYueeY6Dg8MLr9m2bVuOHTvGV199RZcuXYiJicHd3Z2GDRsybdo0AOrVq8eCBQvo0aMH9+/fx87OjooVK7Jr1y5KlCjB2bNnuXDhAosXL37q+tbW1jRt2pSlS5dK0S3Em8iY0y1Ft+LMTdLfzMqcbiGEoXkyvBwpuhX3pKf7yUKoQgjw8PDg6vXrRERE5Ep7jo6OeHh4vPJ5hQsXZv78+cyfP/+Zz79sCumzhoxXqVKFTZs2PfecBg0a0KBBg+c+X7ly5RcuyvbHH3+8MFNWSNEt8j1ZSM1wmJmkbwMjPd1CCEMjw8sNhwwvF+LZPDw8XqsQFjlPFlIT+Z5arcbU1ITElFSlo+R75qbpPUhSdAshDI0MLzcc+sfDy6WnWwiRV0jRLQRgbmZGUopsPaI0Wb1cCGGoZPVywyE93UKIvEaKbiFIX0wtMVl6upX2ZCE1mdMthDA00tNtQGQhNSFEHiNFtxCAmZmpLKRmAJ70dD9r/0YhhFDSgwcPAFCbWyucRMhCakKIvEaKbiF40tMtRbfSLMyMsbIw5d69e0pHEUKITO7evYvaSIPawkbpKPmeXpuCWq1Go5FF7YQQeYMU3ULwuOiWnm7FqVQqXB1tCA0NVTqKEEJkEhoaiomNIyqVvHVSmi4pDmsbW1QqldJRhBAiS+QvhxCAubkFSVJ0GwQ3RytCQkKUjiGEEJmEhoaitrJXOoYAdMnx2BYooHQMIYTIMhmXIwRgZmZOYnKk0jEE4Opgya2QO0rHEEKITO6EhICFndIxBOk93fZ28r0Q4v8FBwcTERGRK205OjrKnuCvQIpuIQBzCwsSw6Wn2xC4OVpz4Fqw0jGEECKTOyGhGFmXUDqG4HHR7SZFtxD/FRwcjG/JkiTk0rarFubmXL12TQrvLJKiWwjS53Q/lH26DYKrozV3w+6j0+lQq2UGjBDCMITdvYtxlVpKxxAAKfE42LsonUIIgxIREUFCYiJrPuqFb2HnHG3ratg9ui1fQURExCsV3b169WLlypUZH9vb21O1alVmzpxJuXLlMh3bv39/li5dytq1a+nUqVO2ZVeKFN1CABYWFgQnSU+3IXBztEar1fLgwQOcnXP2j4YQQmRFXFwc8XGxOFo7KB1FACTHYyfDy4V4Jt/CzlQy4N7n5s2bs3z5cgDu3bvHxIkTadWqFcHB/45yTEhIYMOGDYwdO5alS5e+FUW3dCMJARQqVIh7UbI3tCFwdUzfA1dWMBdCGIonv4+MZCE1g6CXoluIPMvU1BRnZ2ecnZ2pUKEC48aN486dO4SHh2ccs3HjRkqVKsX48eM5evQogYGBygXOJlJ0CwG4ublxNyIGnU6vdJR8z80pveiWFcyFEIbi7t27ABhZSU+3IUhLiqOArF4uRJ4XFxfH2rVr8fHxwcHh39+vS5cupVu3btja2tKyZcuMnvG8TIpuIQBXV1dSUrVEPEpQOkq+52RrgbHGSHq6hRAGI6OnW4aXK06v15OaECc93ULkUX/99RdWVlZYWVlhbW3NH3/8wYYNGzLW8bl58yYnTpygY8eOAHTr1o3ly5ej0+mUjP3GpOgWgvSeboDQh7EKJxFqtQq3grYEBAQoHUUIIQAIDAzE2NIGtbGZ0lHyPV1SLHq9DkdHR6WjCCFeQ4MGDfDz88PPz4+TJ0/StGlTWrRoQVBQEJDey92sWbOMn/GWLVsSHx/Pnj17lIz9xqToFoL0nm6AkHApug1BWU8HLl64oHQMIYQA4MKFCxg7eikdQwBpsQ+Bf/9uCyHyFktLS3x8fPDx8aFatWosXbqU+Ph4Fi9eTFpaGqtWrWLbtm1oNBo0Gg0WFhZERkaydOlSpaO/EVm9XAjSF1IzMjIiNCJO6SgCKF/EicV7pOgWQhiGM+f8MHIspXQMgRTdQrxtVCoVarWaxMREtm/fTmxsLOfPn8fIyCjjmGvXrtG1a1cePnyYae53XiJFtxCAkZERhZ0LEhIhPd2GoFyRgty7f4wHDx5QsGBBpeMIIfKxuLg4ggJuY1/iXaWjCEAb9xCVSiVbSgrxHFfD7hl0G8nJydy7l35+VFQU8+fPJy4ujtatWzN37lzeffddypcvn+mc0qVLM3LkSNasWcOIESPeKLtSpOgW4jE3N3dCpeg2COWLpBfaFy9epHHjxgqnEULkZ5cuXUKv12Nc0FvpKAJIi4vE3tEJY2NjpaMIYVAcHR2xMDen2/IVudKehbn5a62tsGPHDgoXLgyAtbU1JUuWZOPGjfj6+rJt2zZ++eWXp85RqVS0b9+epUuXStEtRF7n6uZOSMA5pWMIoEjhAliYmXDhwgUpuoUQirpw4QIqIyNMHD2UjiJIH17u6SJDy4X4fx4eHly9do2IiIhcac/R0REPj1f7vbhixQpWrFjx3OdTU1Of+9y8efNeqS1DI0W3EI+5ublx5exhpWMIwMhITRlvJy5evKh0FCFEPnfhwgXMHN1RaUyUjiIAXdxDPHzdlI4hhEHy8PB45UJY5A5ZvVyIx1xdXQkJj1E6hnisvLcjF/xk5IEQQllnz51H7eCldAzxREIkrq4uSqcQQohXIkW3EI+5ubkRG59ETHyy0lEEUM67IFeuXn/hUCMhhMhJOp2Of/75R+ZzGxBtXKSsXC6EyHOk6BbisSd/xGUxNcNQvmhBUlNTuXbtmtJRhBD51O3bt0lMiMekYBGlowhAr00lJTZKim4hRJ4jRbcQj7m5pc8RC30oe3UbgrLeTkD6fEohhFCCn58fACbS020QtI/StxkqUkRugggh8hYpuoV4zMUlfY6YzOs2DAWszCjm5sjx48eVjiKEyKf8/PwwtbHHyLKA0lEEkBp1F4BixYopnEQIIV6NFN1CPGZmZoajgz2hEdLTbSjqlXXl4IH9SscQQuRTBw4eQuNcQukY4jFt5F3MzC0ybpILIUReIUW3EP/h6upCiMzpNhj1yrlz+crVXNtzUgghnkhISODUqZOYuJdVOop4LDXqLkWKFEWlUikdRQghXons0y3Ef7h7eBJ4/6rSMcRj9cql7zV5+PBh3nvvPYXTCCHyk2PHjqFNTcXMs5zSUcRjuugwfCsXVzqGEAYrODg41zoqHB0dZU/wVyBFtxD/UaZMWVafPKJ0DPFY0INHWJgZ8+eff0rRLYTIVfv378fE0hZjR3lTaSh0j8IoVqy50jGEMEjBwcGULOlLYmJCrrRnbm7BtWtXpfDOIim6hfiPcuXKERr+iIcxiTjYmCsdJ9+56H+fn7ddYPe5QPzvR6NN1QGwY9cOhZMJIfKbXbv3YORaCpVKZuIZAr02haToB7KImhDPERERQWJiAj0bjse5QM4Wwveig1m57ysiIiJeqeh+8OABn3/+OX///Tf379/Hzs6O8uXLM3nyZGrWrImXlxdBQUFPnffVV1/x6aefEhgYiLf3s3eTOH78ODVq1Hjt15TTpOgW4j/Kly8PwKWAB9Qv76lwmrff7dAoft7ux9+n/blxN4rkZC0ApoVNsa1vh6WvJalRqYStDuPevXs4OzsrnFgIkR/ExsZy0c8PrVZL6PxuGLuWwqpsY8yKVEGtliJcCalRYaDXS9EtxEs4F/DA3ckwp2F06NCB1NRUVq5cSZEiRbh//z579+4lMjIy45gpU6bQr1+/TOdZW1tn+njPnj2ULl060+ccHBxyLng2kKJbiP8oXrw4pqYmXLgtRXdOCHsYx+Ltfvx54haX7zwkMTEVABNHEyxrWlPQ1wrLkpZobP/91aR9pCVsdRh79uyhW7duSkUXQuQj+/btIyU1hcHVu3Du7hXO3DpJ+I1jaIyMwdoRM68KWFdsKft35yJtVCgg24UJkVdFR0dz5MgRDhw4QL169QDw9PSkWrVqmY6ztrZ+aSeLg4NDnuuIkaJbiP/QaDSULlWKiwHhSkd5K0THJbFsx0W2HL3BhYAHxCakgB40NhqsKlph72uJZSlLTBxMnnsNja0GS09Ldu/eLUW3ECJX7NixA28Hd8bXHwhAQkoiJ0MuciTwDAcCTnLD72/i/P7G2NgM7F2x8KmBVcUWaGQ/7xyT+jAES2trChUqpHQUIcRrsLKywsrKiq1bt1KjRg1MTU2VjpSrpOgW4v+Ur1CRC8d2Kh0jT0pISmHN3itsPHiNM7fuER2XBHowsjDCsrQlLr6O6UV2IZNX2vLF3Necv3f9jV6vl61ihBA5Sq/Xs2P739T3rJrxOQsTcxoUqU6DItX5nCGEx0dyJOgshwPOsD/gBBFH1xJz9BeMzCzRFPLBwrculqXro9Y8/4aieDUp4QFUKFde/gYIkUdpNBpWrFhBv379+PHHH6lUqRL16tWjU6dOlCv37y4R48aNY+LEiZnO/euvv6hfv37Gx7Vq1Xpqqs+jR48wMjLK0dfwJqToFuL/lCtXjnW/rEGbpkNjJHP3XkSr1bHx8FV+2XeFk9fCCI9JAB2oTdVY+lri7FsAq1JWmLqaolK//hslq/JWBO4I5PTp008NQxJCiOx08+ZNAoODqF9t8HOPcbK0571STXivVBP0ej23I4M5EniGg4GnORp0jsggPx7tWgAWtpi6l8GqXFNMPcrJfPA3oI8IolKjNkrHEEK8gQ4dOvDuu+9y+PBhjh8/zo4dO5g5cyZLliyhV69eAIwdOzbj/59wdXXN9PGGDRvw9fXN9DlDLrhBim4hnlK+fHmSklO5GRKJr6ej0nEMik6nY/vJ26zac5mjl0MIi45Hn6ZHpVFhUdyCQo0LYVnKEnNPc1RG2dcbYVncElNbUzZu3ChFtxAiR23btg0TjTE13Stk6XiVSoWPgyc+Dp70qtyB1DQtF8KucjjwDAcDT+F37QgJVw9hbGSC3tYJc+/KWFVqiYm9W86+kLeILjWJpIiQjMVOhRB5l5mZGU2aNKFJkyZMmjSJvn378sUXX2QU2o6Ojvj4+LzwGu7u7i89xtBI0S3E/3kyxOViQLgU3cDhi8Es23mR/RfucOdhDDqtHtRgUdQCxzqOWJWywryIOWrjnOvBURmpsKhowYZfNzBz5kwZXiiEyDEb1q2nQZEaWJi83raRxkYaqriVpYpbWUbV+Yi45ARO3PHjcOBp9vufJODsH8Se/QNjE3NUDu5YFK+FVflmGJlbv/zi+VRqeBB6vY4KFSooHUUIkc1KlSrF1q1blY6R46ToFuL/ODg44OpSmIv+D+hY3/flJ7xl/G7dZ/Hffuw5F4j/g0doU3SgAnMPc+ybOmDpa4llcUvUprk7TNK2mi2BBwI5e/YsVapUydW2hRD5g7+/PydPn2JBmy+y7ZpWphY09qlFY59afAmExYZzJPAMhwLPcDDgFFEHVxBzaBVqMys0hYthVboB5iXroFbLW7QnUh4EoFarn9oiSAjxtHvRwQbZxsOHD/nggw/o3bs35cqVw9ramjNnzjBz5kzatm2bcVxsbCz37t3LdK6FhQU2NjaZrvX/xxQoUAAzM7NXzpVb5De6EM9Qrlx5LvjfUjpGrrgVGsnP2/zYcTqA62GRpCSnAY/3yq6Xvle2ZQlLjCyVnStjWcISExsTNm7cKEW3ECJHbNiwAQsTMxoXrZVjbRS2duKDsi34oGwL9Ho91yL8ORJ4loMBpzgR5EeE/1mMts1BZWmPiUdZrCs0x8ytVI7lyQtSwwMo4lMcc/PXG30gRH7g6OiIubkFK/d9lSvtmZtb4OiY9RGhVlZWVK9enTlz5nD79m1SU1Nxd3enX79+fPbZZxnHTZo0iUmTJmU6d8CAAfz4448ZHzdu3Pip669bt45OnTq9xivJHSq9Xq9XOoQQhmb8+PGsXf4jwWsGKh0l292NiGXx9gv8eeIWV0L+b6/sMpZYPWOvbEMRuiIU60BrAv0DZYi5ECLblStTFm9doWzt6X4VKWmpnA29zOHA0xwMOMWlezfQo8dYY4q+QCEsilTButK7aGzz17ZZ4evG0aZWWdatW6d0FCEUl5SUREBAAN7e3k/17AYHBxMREZErORwdHfHw8MiVtgzZi74f/2V476qFMADlypXj6/vRRMYkYm+Tt++sR8YksHznJbYcvcmFwAfExacAj/fKrvR4r2zfF++VbShsq6YPMT937hyVK1dWOo4Q4i1y+fJlLl3+h5HtuyiWwcTImJoeFajpUYFP6vYjOimW48HnORx4hv3+Jwg5tZmYU5sxNrVA7eiFRcnaWJVrgtrEQrHMOU2v15HyIIAKFborHUUIg+fh4SGFsIGSoluIZ3iyQuqlgHDqlc9bv7wSklJYvecyGw9d4+yt+0/vlV3KMb3IfsW9sg2BZUlLTG3SVzGXolsIkZ02bNiAjbkV9bwNZ4eEAmbWtChelxbF6wJw51EYRwLPPu4JP03U3is82rcUtbkNxi4lsCzTEPNiNd+qrcm0jx6gTUqQlcuFEHmaDC8X4hm0Wi1WVpbM7FOX4e8Z9vzh1NQ0fj10jXX7r3DyehgR/7dXtmWp9CHjb7pXtqEIXR6KdZAMMRdCZB+9Xk9xn2JUsizB7JafKh0nS3R6HZfv3+RIUPp88FN3LpKq06Ix0qC3csDMqzzW5VtgWriY0lHfSPyVg0T8+S0PHjzAyclJ6ThCKC6rw5lF7pDh5UK8AY1GQ+lSpbjo/0DpKE/R6XRsO3mb1Xv+4cjlUO79Z69syxzcK9tQ2Fa1JfBgIKdPn5Y9u4UQ2eLcuXPc8r/Nlx8OVjpKlqlVaso6l6CscwkGVe9CYmoyZ0IvcTjwNAcCTnHtwi7iL+zC2NgU7FwwL1oN64ot0Vg7KB39lSSHXqVI0WJScAsh8jQpuoV4jvIVKnLh2C6lYwBw6GIwy3Zc5MDFYO48jFVkr2xDYVnKEnMnc3788UcpuoUQ2WL9+vU4WNlRy7Oi0lFem7mxKe94VeEdryp8Vn8QkQnRHA06lzEf/N7xDcQe/xUjU0uMCnljUbIuVmUaojY2VTr6C6Xdu847TXJuNXkhhMgNUnQL8RyVKlVi7ZrVJCanYm5qnKttn7txjyU7LrDnXCABDx6hTf2/vbJLWWJZLPf3yjYEKrUK67rW/LLuF2bPno2dnZ3SkYQQeVhqaiq/rFnLu8XqoXmL9sa2tyhAa9+GtPZtiF6vJzA6lMOBZzgUcJojgWeICr5EzO5FqCxsMXYrhVXZJph5VzKo+eC6lEQS7/lTq9YYpaMIIcQbeXv+ugiRzerWrUtKqpaT1+5Sv7xnjrZ1MzSSn7edZ8fpAG6ERf27V7aLKbb17dKL7OLK75VtKOzesSNiawSrV69m+PDhSscRQuRhf/zxB3fvhdG1RRulo+QYlUqFt50b3nZu9KjYDq1Oy6V7NzgceIaDAac4e+ME4dePojEyBhtHzLwqYV2xJSZOOfu372VSwm6i16VRq5b0dAsh8jZZSE2I59DpdDg62DOiTVm+6F4nW68dEh7Dkr8v8NeJW1y+85CkJC0AJk4mWJa2xKrU472ybeS+2POELAyhYExBrl25JguqCSFeW+OGjXh0K5wtXRYoHUUxCSmJnLxzgUOBZzgYcJKbD4MAMDYxQ2XnhnnxGlhVaIHGwjZXcz06/iup57cQEx1tUD3wQihJFlIzLLKQmhBvSK1W8847dTl48dIbXysyJoGlOy6y9ehNLgaGE5fweK9sWw1Wla1wyEN7ZRuKAg0KcOObGxw8eJD69esrHUcIkQddv36dvfv38X2riUpHUZSFiTkNitagQdEawFAexD3kaNBZDgWe4YD/SSIOryHmyFqMTK3QOPtgWaoeFr51UWty9m9Wyt2r1KpRQwpuIbIoODiYiIiIXGnL0dFR9gR/BVJ0C/EC9erXZ8JnO0hO0WJqkvUfl4SkFFbu+offDl/n7O17PIpLTt8r2zLv75VtKCxLWmLhasGiRYuk6BZCvJYff/wRe8sCtCxRT+koBqWglQPvlW7Ke6WbotfrufUwKH0+eOAZjgad5WHgeaJ3/IDKogAmHmWwKtcUc8/s3Udbr9eRevc6dbp9nK3XFeJtFRwcjK+vLwkJCbnSnoWFBVevXpXCO4uk6BbiBerVq0dSciqnb4RRp4z7c49LSdE+3iv7Kqeu3yUiNjHTXtnOpezeqr2yDYFKpcKmng2bN27m/v37FCpUSOlIQog8JDY2luVLl9O1zLuYaQx7BW8lqVQqijl6UczRi95V3ic1Tcv5sCscCTzDgYBTXLh6mIQrBzHWmKC3KYh5kSpYVWyBib3rG7WrjQwlNSFG5nMLkUUREREkJCQwadQ3eLkVydG2AkP8mTJnHBEREVkqul/WwdSzZ09WrFiRTekMkxTdQrxA+fLlsbay4tDFO5mKbp1Ox18n0vfKPnolhHvRCf/ulV3CkkKlCmHp+/bulW0o7GrbEb4pnKVLl/LZZ58pHUcIkYesWLGCuPg4elZ6T+koeYqxkYZqbuWo5laOj+v0JjY5nuPB5zkceIYDAScJPLOV2DNbMTaxQOXojkXx2liXb4razOqV2km6cxm1Wk316tVz6JUI8XbycitCiaKllI6RSVhYWMb/b9iwgUmTJnH9+vWMz5mbmysRK1dJ0S3EC2g0GurUqcOBi9epVTqY5Y/3yg6J/HevbMuiFji945ReZOeTvbINhZGlETbVbFj440I++eQTNBr5lSaEeDmdTsf3c+bSskQ9XGxklMybsDa1pGmxOjQtlr7g6N2Y+xwJOsehgNMcDDhF9IFlxBxcjtrMGk3hEliVboB5yVqoX7I9W3LwRSpWqoyNjU1uvAwhRA5ydnbO+H9bW1tUKlWmz+UH8g5ViJeoUrUqU6fvYPfZgPS9sj3Nsa/qgJWvFRbFLPLlXtmGxL6JPbcn3eaXX36hR48eSscRQuQBf/31F7cD/JnT/ROlo7x1XGwK8WHZFnxYtgU6vY7r4QEcCjzNocDTnAjyI8L/NJptGrCyw9SjHFYVWmDmWjLTNfR6Pal3LtF02ECFXoUQQmQvKbqFeImGDRsydepUCr1fCPuG9hhZyF7ZhsTcwxzbirZMmTaFrl27YmQk3x8hxIvN+e47KruVoaKLYQ3BfNuoVWp8CxbFt2BRBlTrRLI2hbOh/3A46CwH/E9y+Z99xP+zF2ONKRRwxrxoVawrvYsuOZ6UuCgaNmyo9EsQQohsIUW3EC/xzjvvYFPABl2qTgpuA+XYxpHbX97m119/pXPnzkrHEUIYsMOHD3Pg4EF+bjdV6Sj5jqnGhFqelajlWYlxdfsRlRjD8eBzHA48w37/k4Se/I2Yk79hpDHBSGNM7dq1lY4shBDZQopuIV7CyMiIJo2asOvSLpD1dgySubc5NuVs+HLql3Ts2FH2dBVCPJNer+fzCRMp7VyMZsXfUTpOvmdnbkPLEvVpWaI+AMHRdzkSeJaZhxfj7O2aLxZXEkLkD/LOVIgsaNq0KXG34khLSFM6ingOxzaOXL96nc2bNysdRQhhoPbt28fBw4cYXbs3apW8BTI0HgVcaF+mKQnaJHr16qV0HCGEyDbS0y1EFjRp0gS9Tk/81XhsKstKqobIwscCmzI2TJ4ymfbt20tvtxAikye93BVcS9G4qOz9bKhO3blIYkoSzZo1UzqKEHlSYIj/W9HG20aKbiGywNvbG09vT2Ivx0rRbcAcWjtw+avL/Pnnn7Rt21bpOEIIA7Jjxw6OnzzB6g9moVKplI4jnuNAwElcnAtTpkwZpaMIkac4OjpiYWHBlDnjcqU9CwsLHB0dc6Wtt4FKr9frlQ4hRF4waNAgVv2+iiJfFVE6iniBoK+DKGpRlHNnzskbayEEkN7LXa1KVVThqWzq/IP8bjBgjZb3pE6rBixdulTpKEIYpKSkJAICAvD29sbMzCzTc8HBwURERORKDkdHRzw8PHKlLUP2ou/Hf0lPtxBZ1LRpU3788UdSwlMwcTJROo54Doc2DvjN9GPbtm20atVK6ThCCAPwxx9/cObcWTZ0misFtwELjbnPjQcBTGv+jdJRhMiTPDw8pBA2UDLpUYgsatSoEcYmxsSci1E6ingBS19LrEtaM+aTMWi1WqXjCCEUptPpmDTxc2p5pW9VJQzXQf9TqNVqGjdurHQUIYTIVlJ0C5FFNjY2NG3alPgz8UpHES+gUqko2Kkg169dZ8mSJUrHEUIo7LfffuPiP5cYU7uP0lHESxwMPEWNatWxs7NTOooQQmQrKbqFeAUdP+xI7M1YUiNTlY4iXsDcyxy72nZM+HwCjx49UjqOEEIhSUlJfPbpeOoXrU5Vt7JKxxEvkKRN5nDQWZq3bKF0FCGEyHZSdAvxCtq0aYPGWMOjM1LIGbqCHQryKPYRM2bMUDqKEEIhc+bMISg4mEn1hygdRbzEAf9TxCbF8f777ysdRQghsp0U3UK8AltbW5o2kSHmeYGxnTH2ze2ZM3cOt27dUjqOECKXhYSEMG3qNHpVbE8xRy+l44iX+P3aHsqXLYevr6/SUYQQIttJ0S3EK/rwww+JvRFLapQMMTd0Ti2dMLIxYviI4UpHEULksk/GfoKFkRmj6vRSOop4ifiUBPbePk6nLp2VjiKEEDlCim4hXlHbtm3RGGuIOSOrmBs6takap05O/L39b/766y+l4wghcsmWLVtYt34d7xavh7WJpdJxxEvsvnWMxJQkOnbsqHQUIYTIESq9Xq9XOoQQeU2Lli046n8Uz/GeSkcRL6HX6wmeFYxDogNXL1/FzMxM6UhCiByUnJxM2TJlCAwIJDVNyzteVZneZCTe9u5KRxPP0XvzZ8TapXL85Amlowhh8JKSkggICMDb2/up9zTBwcFERETkSg5HR0fZE5wXfz/+S5OLmYR4a3T8sCM7eu8gNToV4wLGSscRL6BSqSjUtRD+n/szY8YMpkyZonQkIUQOmjlzJgEBASybNI49p86wfud+Gi7tweDqXRlasxvmxnLjzZBEJ8VywP8E386epXQUIfK04OBgSpYsQWJiUq60Z25uxrVr16XwziLp6RbiNURFRVGwUEGcOjrh0NhB6TgiC+5vuU/ktkhOnTxFpUqVlI4jhMgBN27coFy5snzYqD4D2rcBIDo2js8WLubSLX+crZyY3nQUTXxqK5xUPLH+4jY+2TGTkJAQXFxclI4jhMF7Xs/quXPnqFy5Ml2qV6CgjVWOZngQE8cvJ/04e/bsK72n6tWrFytXrsz42N7enqpVqzJz5kzKlSsHpHeWABw/fpwaNWpkHJucnIyLiwuRkZHs378fFxcXKlSowJIlS+jSpUvGcTqdjjp16lCoUCG2bNnypi/1pbLa0y1zuoV4DXZ2djRq1Ii4M3FKRxFZ5NTaCTNXM7r37E5ycrLScYQQ2Uyv1zNw4EAcbG3p+W7zjM8XsLZi4bhRzBoxiER9Ir03jafnb58QHH1XwbTiiT+v7aN+vXpScAuRTQraWOFmZ5ujjzcp6ps3b05YWBhhYWHs3bsXjUZDq1atMh3j7u7O8uXLM31uy5YtWFn9227x4sX5+uuvGTZsGGFhYRmfnz17Nrdu3eKnn3567Yw5QYpuIV5Txw87Ens9ltRoWcU8L1Br1Dj3cebatWtMnTpV6ThCiGy2Zs0a9u/fz8ddPsDM1OSp56uXKcUf302nc9OGHA48Q/0l3Zh7dCVJWrkJp5Tw+EiOBJ6lU2dZtVyI/MLU1BRnZ2ecnZ2pUKEC48aN486dO4SHh2cc07NnT9avX09iYmLG55YtW0bPnj0zXWvYsGFUqFCBfv36AXDt2jUmTZrEzz//TMGCBXPnBWWRFN1CvKa2bdtiZGQkq5jnIeYe5ji2duSrr7/i9OnTSscRQmST0NBQRowYQeNqVahRptRzj1Or1Qz5sD2/zZxCMQ83vjuyjIZLerDf/2QuphVPbLt+ALWRmvbt2ysdRQihgLi4ONauXYuPjw8ODv9O16xcuTLe3t5s2rQJgDt37nDo0CG6d++e6XyVSsXy5cs5fPgwixcvplevXnTs2JF27drl5svIEim6hXhN9vb2NGzYkLizMsQ8L3F61wlzD3O69+xOUlLuLDYihMg5Op2OHj16oAFGdXk/S+c42Nrw84QxfD1sAI+0MfTYOJZ+WyYQGnM/Z8OKTP68to8mjRvj6OiodBQhRC7566+/sLKywsrKCmtra/744w82bNiAWp25LP3oo49YtmwZAMuXL6dly5Y4OTk9dT0PDw/mzp3LwIEDuXv3Lt9//32uvI5XJUW3EG+g44cdib0mQ8zzEpVGReE+hbl58yaTJ09WOo4Q4g3NnTuXffv28dlHXbG1erV5hrXLl+GvOV/RoWFd9t4+Tr2fu7LgxBpS0uR3ek4LjbnPqTsX6fyfBZCEEG+/Bg0a4Ofnh5+fHydPnqRp06a0aNGCoKCgTMd169aN48eP4+/vz4oVK+jdu/dzr/nRRx9RuHBhhg8fjq2tbU6/hNciRbcQb6Bdu3ao1WoZYp7HmLmZ4dTOiW+//ZYTJ2RfWCHyKj8/P8aPH0+npg2pWqrka11DrVYzqsuHbPjqCzxdC/LNwcU0WtqDI4Fnszmt+K8/r+7D1MSUtm3bKh1FCJGLLC0t8fHxwcfHh2rVqrF06VLi4+NZvHhxpuMcHBxo1aoVffr0ISkpiRYtWrzwuhqNBo3GcHfDlqJbiDfg4OBAy5YtiTkcg+y+l7c4tnDE3Ct9mHlcnEwRECKvSUhIoHPnTng6F6L/e63f+HoF7e1YNulTpg7qzcPkKDpvGMWg378gLDb85SeLV/bnjf28++672NjYKB1FCKEglUqFWq3OtGjaE7179+bAgQP06NEDIyMjBdJlH8O9HSBEHjFk8BD+avEXibcTsfCxUDqOyCKVkQqXvi4ETAmgX79+/PLLLxl7QwohDN/o0aMJ8A9gycSxmBgbZ9t161euSN2K5Zm1ZgPbjxxmz61jjHmnD70rv4+xkbxtyg4BkXe4ePcan3eRnSSEyG4PYnK+I+FN2khOTubevXsAREVFMX/+fOLi4mjd+umbp82bNyc8PPytuDknfz2EeENNmzbFw8uDqP1RUnTnMaYuphT+qDDrF62ndu3aDB06VOlIQogsWL9+PT/++CNjunfC26Vwtl9frVbzSY/OdG/ZlE/n/8S0/QtZd/Evvm42hhruFbK9vfzm96t7sbK0omXLlkpHEeKt4ejoiLm5Gb+c9MuV9szNzV5rEcQdO3ZQuHD6721ra2tKlizJxo0bqV+//lPHqlSqt2ahRZVexsQK8ca++eYbJnw+gWJziqGxkntZeU3Y2jAeHXjEoYOHqFmzptJxhBAvcP36dapUrkzNMqWY1LdHroxQ2XXiNLPX/Ep8UiLvlWrCxAaDKWjl8PITxVPSdGnUXtyZJu2as3z5cqXjCJHnJCUlERAQgLe3N2ZmZpmeCw4OJiIiIldyODo64uHhkSttGbIXfT/+S4puIbJBeHg4Lq4uOLZ3xLHF23FHLj/RaXUEfxOMVbwVF/0uPnNLCiGE8hITE6lWrRqxDyNYPGEsFmamuda2Vqvlm1Xr2H3iDCZGxnxabwDdK7ZFo5Ybra9i962j9N40nlOnTlG1alWl4wiR52S1yBO5I6vfD1lITYhs4OTkxPsd3ifmUAx6ndzHymvUGjWug12JjI+kY6eOpKWlKR1JCPEMQ4cO5dbNG0wZ8FGuFtyQvjLuhN7dWTN1AgUdbZm053tarOjLmZBLuZojr1vt9ztVKlWWglsIka9I0S1ENhk8eDAJYQnEX41XOop4DcZ2xrgMcOHAgQNMmjRJ6ThCiP+zYsUKli1bxsddPqSom6tiOdwKFWTN1M/5rFdXgmPu8t7aIXy8/SseJkQrlimvCIq+ywH/kwwaMljpKEIIkauk6BYim9SpU4eSpUoStT9K6SjiNVmVsqJg+4LMmDGDP//8U+k4QojHDh8+zIABA2j1Ti1a1q6hdBwAWtapyV/ff03japXZcnkXdX7qxOrzv5Omk5Eyz7PW73dsrW3o1KmT0lGEECJXSdEtRDZRqVQMGTSEmHMxpEalKh1HvCbHdx2xrWRL125duXbtmtJxhMj3bt26Rbt27ShTxIvRXT9UOk4mJhoNk/t/xIovP8XOzorPds2m1ar++IVdVTqawUnSJrPhn7/p1fsjLCxkpw8hRP4iRbcQ2ah79+6YmpoSdUh6u/MqlUqFSx8X0mzSaNKsCWFhYUpHEiLfioyMpGXLFliZmjBtYB+MNYa5aJlX4cKsmz6JMd06cTsqmDarBvDpjllEJT5SOprB2HbtAJHx0QwcOFDpKM/l5eWFSqWShwIPLy8vpb/9QuQoKbqFyEa2trZ079Y9fUG1NFlQLa8ysjTCbZQb4XHhNGvRjJiYGKUjCZHvpKSk0L59e8Lv3Wfm0AHYWFkqHeml2tWvw59zv6JupfKsv/gXdX7qzPoLf6HT65SOprjVF36nUYOGlChRQukozxUUFIRer5eHAo+goCClv/1C5CgpuoXIZgMHDiTpYRKxF2KVjiLegImDCe6j3Ll28xrtO7QnJSVF6UhC5Bt6vZ52bdty7OhRpg/ui1uhvLONn5mJCdMH92PppHFYWZsydsdM2q4exD/3bygdTTHn717hbMg/DBk2lHv37vHpp59y+vRppWMJIUSukX26hcgBVapV4WbSTTxGeygdRbyhuKtxBM8OpkunLqxatQqVSqV0JCHeep999hkzv/kGjZERM4b0o3qZUkpHem2/7T3Aj5v+JDklhZ6V3mPMO32wNbNWOlauGvrnFC4l3ObGrZvcuXOHhg0bEhAQQPXq1Rk2bBgffPABJiYmSsdEpVIhb4uVIV/7rHvRvtDBwcFERETkSg5HR0c8POR9blb36ZaiW4gcsHz5cnr37k3xmcUxKaj8GwnxZqJPRBPyYwjjx49nxowZSscR4q32/fffM3LkSBqX8uGk/x3ik1MY17ML79apqXS015aUnMKkn5Zx8tIVbMysmNRwKB1KN8sXN/HCYh5Q6+dOzJo9ixEjRgCQlpbGtm3b+OGHH9izZw+FChViwIABDBgwABcXF8WySuGnHPnaZ93zirzg4GB8S5YkITExV3JYmJtz9dq1fF94S9EthIISEhJwdnHGtLYpzh86Kx1HZIOIvyO4t+EeCxYsYPBg2WNWiJywdu1aunXrRv0SRWhV3pcUrZa5u4/yIDaO3m1a8lHrFnm6UL0WGMyEhUu4HxlJFdcyzGg2Gl+nokrHylFfH/yJVf/8QUhoCDY2Nk89f/XqVebPn8/KlStJTk7m/fffZ9iwYdSsWTPXv9dS+ClHvvZZ97wi79y5c1SuXJlJfXviWThn33sGhd1jypKVnD17lkqVKmX5vF69ehEdHc3WrVszfb5+/fpUqFCBuXPnZvr81q1bee+999Dr9cyePZspU6YQFhb21A4ISUlJODs7M2nSJD7++OPXfVmvJatFt8zpFiIHWFhY0Ld3X2IOxZCWKHu2vg0cmjvg0NSBoUOHsmXLFqXjCPHW2bFjB7169qSqlzvvlisJpG/JNabZOxQv6MiyP7bz1Yq1aLV593dqSS8PNs2cwsAObbn04AbNl/dmyr75xCbHKx0tRySmJrH24p/07df3mQU3gK+vLwsWLCA0NJRZs2Zx5swZateuTZUqVVixYgVJSUm5nDp7rVixggIFCigdQ+QjnoWdKeHpnqOPnC7qn6VHjx4kJiayadOmp57btGkTCQkJdO/ePddzZZUU3ULkkI8//hh9ip7IvZFKRxHZQKVS4dzJGduqtnTs1JG///5b6UhCvDVOnjxJ+/bvUdzZkferlMnUw6lWq+lfvzo1irjz99ETjJ23iIQ8Xoh1a9GEP+fMoEqpkiw98xvv/NyZ36/sfet6+n77ZycxSXEMGzbspcfa2toyYsQIrl+/zvbt2ylUqBAfffQR7u7ufPbZZ9y5cycXEj/bnTt36NOnDy4uLpiYmODp6cmIESN4+PBhpuO8vLye6qkzVAMGDEClUr0074oVK565xdd/b4asXbsWd3d37O3tGTt2bKbzAwMDKV68uOwCIt6Yk5MTrVu3ZtmyZU89t2zZMtq0aYOTk+EuuilFtxA5xM3NjT69+xC1KwpdsmwX8zZQqVW49HfBoowF7d5rx44dO5SOJESed/bsWVo0b05ha0u6Va+IkfrZb03er1KOluVKcvbaDQZ9PYeI6Ly9B7aFmRnfjRrCgnEjUZvA0D+/pOP6kdyMCFQ6WrbQ6XUsO/8b7dq2xdvbO8vnqdVqWrRowfbt27lx4wZdu3ZlwYIFeHt78/7773Pw4MFcvTnh7+9PlSpVuHHjBuvWrePWrVv8+OOP7N27l5o1axIZqcyN9dTU1Nc+d+vWrZw8eTLL8+dtbGwICwvL9HgyjDYiIoK+ffsya9Ysdu7cycqVK9m2bVvGuYMGDeLrr79+7kgHIV5Fnz59OHjwIAEBARmfCwwMZP/+/fTp00fBZC8nRbcQOejTTz8lLSGNyH3S2/22UGvUuA52xbyUOW3btWXnzp1KRxIizzp27BgN6tfHVqPmo1qVMdEYvfD4BiWL0rV6BYLC7tFv+rcE3r2XS0lzTlmfImyZNY0+bd/l3N1/aLysFzMOLCI+JUHpaG/kgP9JboUHMeoN5lcWK1aMuXPnEhISwrx587hy5Qr169enfPnyLF68mISEnP8aDRkyBBMTE3bt2kW9evXw8PCgRYsW7Nmzh9DQUCZMmACkz0kNCgpi1KhRGb3B/7Vz5058fX2xsrKiefPmhIWFZXp++fLl+Pr6YmZmRsmSJVm4cGHGc4GBgahUKn799Vfq16+PmZkZa9asISgoiNatW2NnZ4elpSWlS5dm+/btL3w9oaGhDB06lLVr12JsbJylr4FKpcLZ2TnT4wl/f39sbW3p2LEjVatWpUGDBly5cgWAX375BRMTE9q3b5+ldoR4mWbNmuHi4sKKFSsyPrd8+XJcXFxo2rSpcsGyQIpuIXKQp6cnPXv0JGpnFLoU6e1+W6g1alyHuGLiY0LLd1uydu1apSMJkefs27ePJo0bU9DSjL7vVMXcJGsFQHn3wgyuX52Y2Dj6z/gWvxu3cjhp7viodQu2fjediiV8+OnUBuot7sr26wfy5JBzvV7Pd8dWULN6DWrXrv3G17O2tmbw4MFcvnyZ3bt34+3tzYABA3Bzc2Ps2LHcunWLuLi413q86OsbGRnJzp07GTx4MObm5pmec3Z2pmvXrmzYsAG9Xs/mzZtxc3PLWOjpv0V1QkICs2bNYvXq1Rw6dIjg4GDGjBmT8fzixYuZMGEC06dP5+rVq8yYMYPPP/+clStXZmpz3LhxDB8+nKtXr9KsWTOGDBlCcnIyhw4d4tKlS3zzzTdYWVk99/XodDq6d+/O2LFjKV26dJa//nFxcXh6euLm5karVq04f/58xnPFihUjISGB8+fPExkZyenTpylXrhyRkZFMmjSJ+fPnZ7kdIV7GyMiInj17smLFCnQ6HXq9npUrV9KrVy+MjF5801ZpUnQLkcM+++wzUmNTiToYpXQUkY1SH6aSdDsRnU5Hr4968fvvvysdSYg84++//6Zly5a4F7CmT+0qmBlrXul8Dwc7Rjd9B5Vez4jZ89h7+lwOJc1d1hYWfD9mOHPHDCVVncqArZPo+usYAiKVm8/8OvbcPsaFu1eZMm1qtq5ArlKpaNy4Mb///ju3b9+mT58+LFmyhGLFimFtbf1aj2+//fa57d28eRO9Xo+vr+8zn/f19SUqKorw8HDs7e0xMjLC2tr6qd7g1NRUfvzxR6pUqUKlSpUYOnQoe/fuzXh+6tSpzJ49m/bt2+Pt7U379u0ZNWoUP/30U6b2Ro4cmXGMi4sLwcHB1K5dm7Jly1KkSBFatWpF3bp1n/t6vvnmGzQaDcOHD8/ql5ySJUuyYsUK/vjjD9atW4eZmRm1a9fm5s2bANjZ2bFy5Up69OhBtWrV6NGjB82aNWPMmDEMGzaMgIAAKlasSJkyZfjtt9+y3K7IX2xsbHj06OkpQ9HR0U9NTejduzd37txh37597N27l+DgYD766KPcivraXu2vnBDilRUtWpSuXbuy8a+N2NWzQ20i97ryupTwFAIm+2NsYswnG4ewY+EB3n//fdasWUPHjh2VjieEQduyZQsdP/yQEoUc6VajAprX7J2wt7JgfMsGfLfrMF/8tIwHkVF0atowT28p9kSlEsX547sZ/LzlT9bv3EfDpT0YXL0rQ2t2w9z4+VvSGAKdXsfso8uoW+cdGjVqlGPteHt78+233/Lll1+ya9eu117l/E0yPuklf9m/OQsLC4oW/XdruMKFC/PgwQMAwsPDMxZq69evX8YxWq0WW1vbTNepUqVKpo+HDx/OoEGD2LVrF40bN6ZDhw6UK1fumRnOnj3L999/z7lz517pZ6RGjRrUqFEj4+PatWtTqVIlfvjhB+bNmwfAe++9x3vvvZdxzIEDB7h06RLz58/Hx8eHdevW4ezsTLVq1ahbty4FCxbMcvsifyhZsuQzF6g9ffo0JUqUyPS5okWLUq9ePZYvX45er6d+/fqZfr4MlRTdQuSCCZ9NYM3qNUQdicKhoYPSccQbSHmYgv8kf4w1xoxeNxC3Ui70mdeZVWM30qVLF2JiYjK9cRJC/GvVqlX07v0RZV2d6Vyt/HMXTcsqM2MNn7aox4L9x1mwcQv3H0YyrFOHN76uoej/Xms+bNyAzxYu5ocTq9n4zw6mNRlJ02J1lI72XDtuHOLyvZsc3LAkV26AWFhY0K5duxy5to+PDyqViitXrjyzjWvXrmFnZ4ejo+MLr/P/c6f/uye1Tpc+9Wzx4sVUr14903H/P1zW0tIy08d9+/alWbNmbNu2jV27dvHVV18xe/bsZ64Wf/jwYR48eICHh0fG59LS0hg9ejRz584lMDDwha/hCbVaTdWqVTN6uv9fcnIygwcPZs2aNdy6dQutVku9evUAKF68OCdPnqR169ZZaku8nqCwnF/r4k3aePToEX5+fpk+16pVK+bPn8+QIUPo378/5ubm7N69m6VLl7J69eqnrvHfm1RLlix57Sy5SYpuIXJBiRIl6NixI1u3b8Wurh1qzdvxhjC/SYlKwf9zfzRqI0b90h+3UukrvxppjOg560PMrEzp378/QUFBTJ2avcMqhcjL9Ho933zzDePHj6eatwfvVy6DWp09Px9qtZphjWqz5vh5ftt3kPtRUUzu1wtTE5Nsub7SClhbsXDcKE5dvsrUxavos/kzGhatwdTGI/EokLXVp3NLmi6N746toHGjRi8c5pxXODg40KRJExYuXMioUaMyzeu+d+8ea9eupUePHhm/601MTEhLe7V95AsVKoSrqyv+/v507dr1lTO6u7szcOBABg4cyPjx41m8ePEzi+7u3bvTuHHjTJ9r1qwZ3bt3f6WhuXq9Hj8/P8qWLfvM56dOnUqLFi2oVKkS58+fR6vVZjyXmpr6yl8fkXWOjo5YmJszZcnKlx+cDSzMzV96w+lZDhw4QMWKFTN9rmfPnhw+fJgJEybQtGlTkpKSKF68OCtWrOCDDz546hodOnRg6NChAHlmoT4puoXIJRMnTmT9+vVEH43Gvp690nHEK0qNTsV/oj9GqBm5tj8eZdwyPa82UtNpSjsc3OyYPn06QcFBLF2yFJO35I2/EK8rLS2NUaNG8cMPP9CkVDGali6WIzekutWsiIOVBfv9LjHs23nMHD6QAtbPX1Qqr6lW2pffv5vOot+28tveQ9Rf0o3hNXswsHpnzDSmSscD4M9r+7n+wJ8V096exSXnz59PrVq1aNasGdOmTcPb25vLly8zduxYXF1dmT59esaxXl5eHDp0iE6dOmFqaprlgmTy5MkMHz4cGxsbWrRoQXJyMmfOnCEqKoqPX7D6+8iRI2nRogXFixcnKiqKffv2PXf+uYODAw4OmUfaGRsb4+zsnGn4bo8ePXB1deWrr74C4Msvv6RGjRoUK1aMmJgY5s2bh5+fHwsWLHiqjcuXL7Nhw4aMXsySJUuiVqtZunQpzs7OXLt2japVq2bpayJenYeHB1evXSMiIiJX2nN0dMw0ciIrVqxYkWnl8f+X1a1Yzc3NiY6OfqW2lSZFtxC5pHTp0nTo0IHt27ZjV9sOlUZ6QfMKbYyW2xNuo9apGLG2H17l3Z95nEqloumA+ti5FGDlmPWEhoawZfPWp+blCZFfJCUl0b17dzZv2kT7SmWo5eOZo+21KFsCRysLfjv7D/1nfMucUUNxLeiUo23mJrVazZAP29O5eWM+/eFnvjuynA2XtjOjycc0KFrj5RfIQVqdljnHV/Buy5aZ5gDndcWKFePMmTNMnjyZjh078vDhQ5ydnWnXrh1ffPEF9vb/3kSfMmUKAwYMoGjRoiQnJ2d55fm+fftiYWHBt99+yyeffIKlpSVly5Zl5MiRLzwvLS2NIUOGEBISgo2NDc2bN2fOnDlv8nIJDg5G/Z/pGdHR0fTv35979+5ha2tLxYoVOXToENWqVct0nl6vp3///syZMydjGLy5uTkrVqzIWGV9/vz5uLq6vlE+8WIeHh6vXAiL3KHS58W9KITIoy5cuECFChVw7euKXR07peOILNDGabn16S1UqTBiTX98qnhl6bwbJ27z08DVeLl78ff2Hbi7P7tQF+JtFR0dTds2bTh+/BhdqlWgrJvzy0/KJjfvR7D86FnMTE2YNWIwpYp45VrbuenohX+Yvmw1MfHxNCv2Dl82Ho6rTSFFsmy89Dcfb/+Ks2fPUqlSJUUyvKn/zrUWuUu+9lmXlJREQEAA3t7emJkZ9sKK+UFWvx8ysVSIXFS+fHlatW5F5LZI9Dr542LotPFabn12C1Jh+Mq+WS64AYrXKMqY3wZxP/o+1WtUe2rRECHeZjdv3qRWrZqcOX2K/u9Uy9WCG6BYIUdGNq5NamoqQ2bO5YjfpVxtP7fULl+Gv+Z8RYeGddnnf5x6P3dlwYk1pKSl5mqO1DQt359YxXvt2uXZglsIIXKSFN1C5LIvJn1BYlgij04+vR+hMBzaBC23x9+CJD3DlvemWPUir3yNwj6FGLtpECb2GmrWqsmaNWtyIKkQhuXPP/+kcqVKPLx7l8H1quPtpMwaFgVtrBjfoj4WxhrGL/iZrQcOK5Ijp6nVakZ1+ZANX32Bp2shvjm4mEZLe3Ak8GyuZdh46W+Co+7y5ZQpudamEELkJVJ0C5HLqlSpQrPmzYj8S3q7DVVaUhq3P7uNLkHPkKW9KVHT57WvZVvQhtG/DqRCi9J0796doUOHkpKSko1phTAMaWlpfP7557Rp0wavAlYMa1ADZ1trRTNZmJowvmUDnG2smLVmAz9u+j1ji6a3TUF7O5ZNGsfUQb15mBxF5w2jGLh1EmGx4TnabrI2he9PruLDDz587orWQgiR38mcbiEUcOLECWrWrIlrP1fsasvcbkOiS9Jxc/xN0mLTGLLkI0rXK/Hyk7JAr9dzaO0JNk75k6pVq/Dbxk24uBjWdj9CvK6HDx/SpXNn9uzZQ7MyxWlQsihqA9oyT6fTsfzoWa6GPaBJ9Sp89lE3jDVv71qyOp2OWWs2sP3ISTRqI8a804feld/H2Cj7X/OKc5v5Yu88Ll++TMmSJbP9+rlJ5hUrR772WSdzug2LzOkWwoDVqFGD9h3a83DTQ3TJb2evS16kS9Fx67ObpMWkMeinntlWcEP6G4p63Wry8YYBXPe/RsVKFTh48GC2XV8Ipezdu5eKFSpw7Mhh+r5TlUa+PgZVcEP6EOw+71Sljo8Xe06d5eM5C4hLSFQ6Vo5Rq9V80qMz62Z8jquzA9P2L6TJ8l4cD/bL1nYSU5OZf3INXbt0zfMFtxBC5CQpuoVQyMxvZpIWl0bEjtzZT1G8mC5Fx63xN0mN1tJ/YXfKNnz2XqdvqkhFTz79czh23rY0atSI7777Tu7uizxJr9ezYMECmjZtyp2QEPrVqUJxZ8PenqtdpdK0qeDLxZu3GfDVbO5HRikdKUcVdnRg5eTP+KJfL+7Fh/PhuuEM/3MqD+IeZsv11/j9TkR8FJO+mJQt11Oap6cnKpVKHgo8PD1zdjtBIZQmw8uFUNCYMWP4fv73FP26KMZ2xkrHybd0Wh23xt8i9WEq/eZ3o1KLnJ+XmKZNY+u3O9j980GaN2/OsmXLKFy4cI63K0R2iI6OpnfvPmzZspnGdVqy79jflCjkxEd1qhhcL/ezXA69z5oT57G2tOS7UUPwcX/79w7WarV8s2odu0+cwcTImHF1+9OjUjs06tcbcp6QkkjtxZ1p82E7li5dms1phRDP86LhzMHBwURE5E5njqOjo+wJTtaHl0vRLYSCoqOj8S7qjaqMCtfeb/+bPkOk0+q4NeEWqQ9S6TOvM1VaVcjV9v85cI014zahTjNi8c+Lad++fa62L8Sr2rdvHx991JuoyCjGD51KvRqNWbpuPss2LOLdciVpULKo0hGzJDTqEQsPnESlVvH10AFU8c2+6SSGLPR+OOPm/0Rg2D1KOHnzddMxVHF79RuNc44s54eTa7hx8wZeXl7ZH1QI8UzPK/KCg4PxLelLQmJCruSwMLfg6rWruVZ4r1ixgpEjRxIdHZ0r7WVVVovut3cVESHygAIFCjD1y6kMGz4M+8b2mHuYKx0pX9Fpddz+/DapD1L5aE6nXC+4AcrUL8nEv0ey9rNNdOjQgZ49e/L9999ja2ub61mEeJH4+HjGjRvHggULqFimKt9NWEzhQuk3C/t0HsrJ80fZfvEiXg52im0T9ipc7Wz5pFld5uw5wsdz5vPZR91pXrOa0rFynGshJ9ZMncj2oyf4ft1vvLd2CB+UbcGE+oNwsCiQpWvceRTGwlO/MHrMaCm4hTAQERERJCQmMK/VRHwccna4/q2HQQz/axoRERGvXHTfuXOHyZMn8/fffxMREUHhwoVp164dkyZNwsHBAQAvLy9GjhzJyJEjcyC9MqToFkJhAwYM4Psfvuf++vt4jPVAlQeGZr4NdDodtyfdJvleMr2+7Ui1thUVy2Jlb0n/Rd05sfksv07ewP4D+1i9ag1169ZVLJMQ/3X06FF69uxFaEgII/uOp0PLLqjVmZeFmTdtOW171WPlsXOMafYOVmamCqXNOlsLMz5rWZ85u44wbekqHkRG0b1l03zxe7hl7Ro0rl6FGctWs+XMLv6+fpDx9QfStXxrjNRGLzx36v6F2DvYM2HChFxKK4TIKh8HT8o6G+bIHX9/f2rWrEnx4sVZt24d3t7eXL58mbFjx/L3339z4sQJ7O1z96ZtamoqxsY5P8VTFlITQmHGxsbMmT2H2CuxxJ6PVTpOvqDT6fCf5E/y3WS6f/0BNTpUVjoSKpWKmh2qMOHvkZgWMqZ+/fqMHTuWxMS3d4VlYfiSkpIYM2YM77zzDhbGViz/bhMftOr2VMENYGZixvdTlpKYmsrak37o8sjsNRONhrHN61LUyZ6ft/zJt6vXo01LUzpWrjDRaJjc/yNWfPkpdnZWTNj1He+u6o9f2NXnnnM48Ax/Xz/It7NnYWVllYtphRB53ZAhQzAxMWHXrl3Uq1cPDw8PWrRowZ49ewgNDWXChAnUr1+foKAgRo0albHQ3n/t3LkTX19frKysaN68OWFhYZmeX758Ob6+vpiZmVGyZEkWLlyY8VxgYCAqlYpff/2V+vXrY2Zmxpo1awgKCqJ169bY2dlhaWlJ6dKl2b59e7a+dim6hVCITqdj9erVLFmyhHfffZcmTZsQvj4cXYpsIZaTdDod/l/6kxSSRNfp7an9YVWlI2Xi6GbPqF/60+6TFnz/w/eUKlOK3bt3Kx1L5EPHjx+nYsWKzJv3A4O6j2LB9FV4uHq98JySPmXo13UEN+9HsO/qrdwJmg3UajWDGtSkqpcbfx4+yqfzfyIhKVnpWLnGq3Bh1k2fxNjunfCPCqbNqgGM2/EtUYmPMh2Xmqbli33zqFOrNp07d1YorRAiL4qMjGTnzp0MHjwYc/PM0ymdnZ3p2rUrGzZsYNOmTbi5uTFlyhTCwsIyFdUJCQnMmjWL1atXc+jQIYKDgxkzZkzG84sXL2bChAlMnz6dq1evMmPGDD7//HNWrlyZqb1x48YxfPhwrl69SrNmzRgyZAjJyckcOnSIS5cu8c0332T7TUUpug2Ul5eX4ts3GPIjr88hO378ODVq1KBHjx7cuHEDlUrFD/N+IDUqlYi/ZQuxnKLT6QiYGkBSUBKdprTjnS41lI70TGojNc0G1mfi9pGYFdLQtGlTunbryoMHD5SOJvKByMhI+vXrR61atVDrjFk2eyNd2/fByOjFQ46f6N6hLxVKV2bnPze4eT9v/T7rWK08zUoX59TlqwydOZfIRzFKR8pVbevV4c+5X1GvcgU2XNxGnZ86s+7CX+j06TeDV5zbzO2HwfywYH6+GIIvhMg+N2/eRK/X4+v77C1ZfX19iYqKIi0tDSMjI6ytrXF2dsbZ2TnjmNTUVH788UeqVKlCpUqVGDp0KHv37s14furUqcyePZv27dvj7e1N+/btGTVqFD/99FOmtkaOHJlxjIuLC8HBwdSuXZuyZctSpEgRWrVqle1T/KToNlBBQUHo9Xp5POcRFBSk9LfotYSEhNCtWzdq1aqFVqvl0KFDzJw5E4ASJUrw8aiPebjtISnhKQonffvodDoCZwSSGJDIh5PaUL97LaUjvVShIk6MWNuPnrM+5M/tf1C8RHEWLFhAWj4Z+ipyl06nY/ny5RQvXoIN6zcwuv9EfvxqLUU8fF75WnO+WIK1lQ1rTpwnJjEpB9LmnMalitG5ann8Q+/Sb/q3BN+7r3SkXGVmYsK0QX1ZOmkcVtamfLJjJm1WD+KA/ynmHFtB//79qVChgtIxhRBvmScbar3ohp6FhQVFi/67Q0bhwoUzOiTCw8O5c+cOffr0wcrKKuMxbdo0bt++nek6VapUyfTx8OHDmTZtGrVr1+aLL77g4sWL2fWyMkjRLUQuSExMZOrUqZQoUYLdu3ezZMkSTp8+zTvvvJPpuIkTJ+Lo4Mj9DfnrTV5uCPwmkIRbCbw/oRUNP6qjdJwsezLX+4s9oynbvARDhw6lStXKnDhxQulo4i1y+vRpatasSe/evalcpgZrf/iT9i07Z7l3+/+ZmJgwf/pKklK1rDlxHp0ub8zvfqKipysD6lYjKiaWftO/5eLN2y8/6S3j4+7Kr19/ycjO73P9oT/dN44BjYpp06YpHU0IkQf5+PigUqm4cuXKM5+/du0adnZ2ODo6Pvca/7/gmUqlyijWdbr0ETmLFy/Gz88v4/HPP/889Z7J0tIy08d9+/bF39+f7t27c+nSJapUqcIPP/zwyq/xRaToFiIH6fV6Nm7ciK+vL1OnTmXw4MHcuHGDPn2ePVTT2tqaObPn8OjMI+L+iVMg8dspYGYACdcTeG9cCxr3zZsrglvZW9Ltq/cZt3koUakPqVmzJh07dXzq7q0Qr+Lu3bv06dOH6tWrExURw4Lpq/hi1Dc42Dm98bWLehZnSK+x+IdHsuvyjWxIm7u8newZ3fQd9Dodw2fN48DZ80pHUsT7jerz1ZC+AIz6eFTGlj5CCPEqHBwcaNKkCQsXLnxqkdh79+6xdu1aOnbsiEqlwsTE5JVH9RUqVAhXV1f8/f3x8fHJ9PD29n7p+e7u7gwcOJDNmzczevRoFi9e/Ertv4xsGSZEDjl//jwjRozg8OHDtG7dmt27d1OsWLGXntepUycWLFrA+V/OYzHFArVG7o29icBZgcRfiafNx81oNrCB0nHemHdFD8ZtHcrx386wbe4uNpfczMCBA/n8888pWLCg0vFEHhEVFcXMmTP5/vvvMTE25eN+E2jT7AM0Rtn7tqBjmx4cP3uIPReO4+1kTwnnNy/mc5ODlQWftajP7F2HmbhoKcM7deDDxnn/98ir0GrTmL9xK1WrVuWLL75QOo4Q4iVuPcz5KZiv28b8+fOpVasWzZo1Y9q0aZm2DHN1dWX69OlA+tpWhw4dolOnTpiamr6w9/u/Jk+ezPDhw7GxsaFFixYkJydz5swZoqKi+Pjjj5973siRI2nRogXFixcnKiqKffv2PXfu+euSoluIbPbgwQMmTpzIkiVL8PX1ZefOnTRt2jTL56tUKhbOX0jFihV5uPMhTu/mrTephiRoThBx/8Tx7ojGtBzWSOk42UZtpKZ2x2pUbVOB/SuPsmzRMpavWM4nYz/h448/lm18xHMlJCTwww8/8PVXX5OcnMyHrXvQpd1HWFla51ibsz7/kba967Pm+HlGN3uHAhbmLz/JgJiZGDOuZX0W7D3GvPWbuP8wkiEfvPfMbdPeRr/u2U/A3TA2/vFnvnnNQuRFjo6OWJhbMPyv3JkCYmFukeVi+IlixYpx5swZJk+eTMeOHXn48CHOzs60a9eOL774ImOP7ilTpjBgwACKFi1KcnJyxhDyl+nbty8WFhZ8++23fPLJJ1haWlK2bFlGjhz5wvPS0tIYMmQIISEh2NjY0Lx5c+bMmfNKr+1lVPqsvgqRq/47R+GJXr16ER0dzdatW+nVq1fG8vcajQZ3d3fat2/Pl19+iaWlJYGBgXh7e2NkZERQUBCurq4Z1wkLC8Pd3Z20tDQCAgKeuxJ4XFwcn376KVu3buXhw4d4eXkxfPhwBg0a9MLs0dHRTJgwgc2bNxMVFYW3tzezZ8+mZcuWAKxdu5ZPP/2U+Ph4+vTpw7fffptxbmBgIE2bNuXMmTPY2Ni80tdHaSkpKfzwww9MmTIFtVrNlClTGDhw4FPzT7JqzJgxzJ03F+8vvTFzMcvmtG+/oHlBxJ6LpfnghrQd0+ytXmk3LiqeHQv3c2DVMewK2DH5i8n07dsXExMTpaMJA5GamsrSpUv58sspPIyIoE3TD+j14QDsC7zaG6bXFRQaQI/hbXEtYMPgBjUwyqPF26pjZ7kYco/6lSvwed+emL7m7/e84t7DSLpPmk7/gQOZO3eu0nGEEEBSUhIBAQF4e3tjZpb5/WFwcDAREbmza4SjoyMeHh650pYhe9H347+kpzsPa968OcuXLyc1NZXDhw/Tt29f4uPjWbRoUcYxLi4urFq1ivHjx2d8buXKlbi6uhIcHPzC648aNYr9+/ezZs0avLy82LVrF4MHD8bFxYW2bds+85yUlBSaNGlCwYIF+e2333Bzc+POnTtYW6f3okRERNC3b19WrFhBkSJFePfdd6lfvz7vvvsuAIMGDeLrr79+YcFtaPR6Pdu2bePjjz/m9u3bDBo0iC+//PKN571NnTqVrX9s5d7Se3h+5onK6O0tGrNb8IJgYs/F0nRA/be+4AawsrPk/QmtaNCzNn/O2cXQoUOZ8dV0xoweS79+/Z5aMETkHykpKaxevZqvvvoaf//bNKn7Ln0nD8XV2T1Xc3i6ejOq/wS+XTSFvy9dp1X57B22l1t61KrMtgvXOHDuAhGz5jFz2EBsrN7Ony+9Xs+cdRspYG/PlClTlI4jhMgCDw8PKYQNVN681SwAMDU1xdnZGXd3d7p06ULXrl3ZunVrpmN69uzJ8uXLM31uxYoV9OzZ86XXP378OD179qR+/fp4eXnRv39/ypcvz5kzZ557zrJly4iMjGTr1q3Url0bT09P6tSpQ/ny5QHw9/fH1taWjh07UrVqVRo0aJCxiuEvv/yCiYkJ7du3f8WvhHKuXr1KixYtaN26NR4eHvj5+TF//vxsWWjG3NycNavWkBCQIHt3v4I7P90h5nQMjfq8w3vjWrz1Bfd/ObjZ0Wt2Rz7fMQr3qs6MHjMadw93vvzySyIjI5WOJ3JRTEwMc+fOpUiRIvTt2xdXR0+Wf/cbX4z6JtcL7ifaNetI7Sr1OXDdn8t38+4ODe+WL0n7SmW4GhBE/xmzCIt4qHSkHLHzxGmO+l3ixx9/zFM3woUQwhBJ0f0WMTc3JzU1NdPn2rRpQ1RUFEeOHAHgyJEjREZG0rp165der06dOvzxxx+Ehoai1+vZv38/N27coFmzZs89548//qBmzZoMGTKEQoUKUaZMGWbMmJGxAmGxYsVISEjg/PnzREZGcvr0acqVK0dkZCSTJk1i/vz5b/AVyD1RUVGMHDmSsmXLcvPmTbZu3cru3bspW7ZstrZTo0YNxowZQ/jv4SSF5q29bpUQsiSER8cf0aBnbd6f0CpfFdz/5VLcmV7fdWLKgU8o38qXGV9Px93DndGjRxMSEqJ0PJGD7t+/z6RJkyjsXJhRo0ZRxqcSa374na/Gz6OYd0ml4/H1Zz/gYOfILyf8iIxPUDrOa6tZ1IPedapwPzKSvtNmci3wxSPH8pqI6Gi+X7+Jbl270qZNG6XjCCFEnifDy98Sp06d4pdffqFRo8yLRRkbG9OtWzeWLVtGnTp1WLZsGd26dcvSPON58+bRr18/3Nzc0Gg0qNVqlixZQp06z9/j2N/fn3379tG1a1e2b9/OzZs3GTJkCFqtlkmTJmFnZ8fKlSvp0aMHiYmJ9OjRg2bNmtG7d2+GDRtGQEAAbdq0ITU1lcmTJ/P++++/MOPhw4f59ttvc31+9/Hjx0lOTmb69OmMHDkSU1PTHGvryy+/ZOsfWwldEorXBC9UmvxZSL5MyLIQoo9EU7drDT78ok2+Lbj/y9HNnk5ftqPlsMbsX3GEn5b+yA8//EDXrl0ZNGgQVatWla/TW+Ly5cvMnTuXVatWo0aNm0MxbiVepFn9Vni7+ygdL4NarWbR12voOrgVq46dY2jDWmiM8ub9/xLOToxoVJv5+44z+Js5TB/cl5plSysd643p9Xq+Xb0BCysrvp83T+k4QgjxVsibf+kEAH/99RdWVlaYmZlRs2ZN6tat+8yN3Pv06cPGjRu5d+8eGzdupHfv3lm6/rx58zhx4gR//PEHZ8+eZfbs2QwePJg9e/Y89xydTkfBggX5+eefqVy5Mp06dWLChAmZ5pm/9957XLp0iVu3bjF58mQOHDjApUuX6NevH506dWLu3Lls2rSJPn368ODBgxdmVKlUqNXqXH906dKFGzduMG7cuBwtuAHMzMxYs2oNicGJhG8Pz9G28qq7K+8SfSiaOp2q0WlKOykk/4+NoxVtxzRn2uFPaT26CX/t/oPq1atTsXJFfvrpJ2JjY5WOKF5DQkICK1asoGbNWpQpU4bf1m+hWYVufNn5F4a3mo2ZiQWrfsvefUazg2shdz4Z8iWhUY/46+JVpeO8EWdba8a1qIuZxohx837kz0PHlI70xnaeOM3RC5f4+eefM1YSFkIYHp1Op3QEQda/D7J6uYHKyurloaGhLFq0CGNjY1xcXDL1Xj9Zvfz8+fNUqFCBqlWrYmVlRXx8PKdOncLPz4+KFSs+d/XyxMREbG1t2bJlS8YiZ5C+FH9ISAg7dux4Zu569ephbGycqTD/+++/admyJcnJyU+tppycnEzFihVZs2YNGo2Gxo0bZxTaVatWZdKkSc8cCm+Iq5fntM8++4xvvv2GIl8UwcxdVjN/ImxtGA93P6Tm+1Xo/s37sqVNFujSdFw+eJ3Dv5zkn/3XMLcwp1vXbgwYMICKFSsqHU+8hJ+fH4sXL2bN6jXExMZQyqMKNUu0pKxnLTRG//4d2Hz8R/Zd3MiSb9fjWyx7p75kh4kzR7H/2C6616xEeffCSsd5I6lpaczdfYT7MXH0atWcPm3fzZM3/yKio+n+xVe0bdeO1WvWKB1HCPEMOp2OmzdvYmRkhJOTEyYmJnny901ep9frSUlJITw8nLS0NIoVK/bC96AyvDwPs7S0xMcna8MGe/fuzeDBgzP1OL9IamoqqampT/3jMTIyeuEdndq1a/PLL7+g0+kyzr1x4waFCxd+5vZFU6dOpUWLFlSqVInz58+j1WozZXgyF1zAF198wZbft3Bn6R28Jsowc4Cw9WE83POQ6u0q0f1rKbizSm2kpmxDX8o29CXybjRHN5zi1w0b+Omnn6hSpTJ9+/bj/fffz5YFAUX2iI2NZcOGDfz440+cPXuGAlaO1CzWmpolW+Bo8+yCtU3V3hy5+gerNy1hxqff53Lil5syZjYd+jVmw+kLuBawwdE6764CbmxkxOim77D0yGlW/LWDew8j+bRnVzQaI6WjZZkMKxcib1Cr1Xh7exMWFsbdu3eVjpPvWVhY4OHh8dL3oFJ05xP9+vXjgw8+oECBAlk63sbGhnr16jF27FjMzc3x9PTk4MGDrFq1iu+++y7juB49euDq6spXX30FpG/59cMPPzBixAiGDRvGzZs3mTFjBsOHD3+qjcuXL7Nhwwb8/PwAKFmyJGq1mqVLl+Ls7My1a9eoWrXqG7/2t4WpqSlrVq2hWvVqhG8Lp2DbgkpHUtS9jfd4uPMhVVpVoOesD1Hn0XmhSrN3KUDrUU1pOawRl/Zd48i6kwwePJihQ4fStFlTOnXsROvWrbP8u0Nkn4SEBLZt28b69evZtm07qSkplPKoRv9mUyjtUQMj9YsLOo3GhPJe73DwxF6CQgPwdPXOpeRZo1ar+embX/hwYHNWHjvL8Ma1MTbKO0Xq/1Or1fSrW53NZ/9h54nTREQ/YvrgvliamysdLUt2HD/F0QuX+P3332VYuRAGzsTEBA8PD7RarXRQKcjIyAiNRpOlkQZSdOchOp0Ojeb1vmUajQZHR8dXOmf9+vWMHz+erl27EhkZiaenJ9OnT2fgwIEZxwQHB2e6s+Pu7s6uXbsYNWoU5cqVw9XVlREjRjBu3LhM19br9fTv3585c+Zk7CFsbm7OihUrGDJkCMnJycyfPx9XV9fXer1vq8qVKzPhswlMnzEd6wrWmHvmjTdz2e3+5vs83P6QSs3L8tF3HaXgzgZGGiMqNC1NhaaliQmP5ez2i5z+3Y/ePXqg1mho2bIlHT74gNatW2Nra6t03LdWbGws27dvZ/PmLfz1118kJMTjVagkLSr2pHLR+thZvdrNtg9qDeO8/wHWbVnOp0MNb6/lgo7OTBwxg8mzx/L7+Su8X8XwhsG/qvaVy+BgZc72SzcY9PV3zB45BCe7AkrHeqGI6Gjmbdgsq5ULkYeoVCqMjY2ztDiyUJ7M6TZQz5qz3Lx5c3x8fPLMtlo5KT/O6X4iJSWFSlUqEfgoEM9Jnqg1+avgfPD7A8K3hlOucSn6L+iGkXHe7RkzdEfWn2TN+E10KVCAy6laLsTHYfx47YU2bdvSqFEjfHx8ZC7ZGwoKCmL37t2Ptx7cQ0pKMp6FilPOow6VijbAydblja6/cPunXL97ns2L9+Bo75RNqbPXlLmfsvPAn3SpXoFKnm/HzdZLIfdYe9KPAlZWfPfxUIq4Gua8db1ezyc//IT//XCuXLkivdxCCJEDpOg2UP8tKqOiojh27BgdOnRg/fr1tGvXTtlwBiA/F92QvpBSlapVsG9pT6H2hZSOk2vC/wrnweYHlKlfkgGLuqMxkcE6OWl6q7nEXbvPoaI+GKlUhKWmsicult0JCZyPjydNr8etcGEaN2tGo0aNaNiwIS4ub1Yg5gdRUVHs27ePPXv2sGvnbvwDbqNWqSlSuDTlPOtQ3rsODtbO2dZeZOx9vlzfnU5tezK45+hsu2520ul0fDiwGREP7zGqyTsUtLFSOlK2uPMwmh8PnUStNuKbYQOoVLK40pGe8tveA8xd9xvbtm2jZcuWSscRQoi3khTdBuq/ReV7773H6dOn6dmzJ9OmTZNeJaTohvT9u7+c8iVFJhXB3OvtH2Ye/nc4DzY+oNQ7xRn4U0+MTaXgzklarZZRJSbyoY0tEwo9fWMnLi2NM4mJnEiI52RyCtcT4gEo4eOTUYTXr18fOzu73I5ucOLi4jh16lR6kb1rN+fOnUWv11PI3p3izhUp6VaZYi7lsTC1zrEM324ewv2YIH5fth8ry5xr5008jArn/f5NKWBuwsjGdTDJQ4uQvUh0QiJzdh8hKVXLxD49aFK9itKRMty6E0r/GbMYNHgwc+fOVTqOEEK8taToNlBSVL6YfH3SV3evXLUytx/exutzL9Smb+8w84jdEdxfd58StXwYsqQXxqYyfymn7V95lA2Tf2eNuweVLCxeevxDrZZTCQmcSIjnREoKdxITUavVlCtdmqo1alC5cmUqV65MmTJlMDN7e7e8S0lJ4dKlSxw6dIgrV65w/NgJrl67gk6nw8bSjmKFK1LStRIlXCthb517o1TuhN9i5paBDOw+km7t++Zau6/q0Ml9fPb1MCp7utGpWnml42SbpFQtc3Yf5mFcAoM6tKVL88aK30BPSk6h7/RvsXFw5OSpU2/1z6UQQihNim4DJUXli8nXJ92VK1eoUrUKpuVNce3vqvibuJzwcN9D7q25R/HqRRiyrDcmZlJw54Ypzb8j5XYEB4oURf0a/65CU1M4EZ/A2cRErqZpuZWQQJpej8bIiNK+vpSrWJGyZctSpkwZypQpg5ubW57696vVagkKCuLWrVvcvHmTCxcucP7sWS5dvkxKSgoAro5F8HQsiVfBkngW9KWwvRdqlXI3x6Zs6EVyWixblu7D1MRUsRwv8/WCSfy5exMfVi1HNW93peNkG51Ox6IDJwiIiOK9+u8wsssHGCm4zeGs1evZefIMZ8+dw9fXV7EcQgiRH0jRbaCkqHwx+fr8a/369XTu3JnC3Qvj0Ojt2lc58kAkYavC8KnixbAVfTAxf3qvd5H9tClaRvpOoKttAcYVzJ7e2CSdjuvJyVxJSuJqchI3tWncSk4iXqsFwNbKCm9vb9w9PXH38MDd3R03Nzfc3d1xd3fH1dUVU9PcKxT1ej1RUVHcv3+foKAgbt68mV5g37jBrZs3CQgKQvs4u7FGQymXwlRyc6OiuxuX74bx0+EjfN5xBYUKGE7ReOXOaRZu/5RPBn1B22YfKh3nhToNaknY/TuMaFybwgVslI6Trdad9ONcUCi1ypfly/4fYWaa+7/X9p85z+c/LuWnn36if//+ud6+EELkN1J0GygvLy+CgoKUjmGwPD09CQwMVDqGwRgxYgTzF87Ha7wXFkVfPhQ4L4g8HMm9FWF4V/Bk2Mo+mFkabs/c22b34oNsmrGN9R6elMvBPYZ1ej1h2lRuJqdwMzmZ0NRU7qVpua/Xcy81lUePe4yfKGhvj5u7O67u7tjY2mJtbY2NjQ3W1tbEx8fj4eGBhYUFZmZmmJqaYmRkRGpqKqmpqaSkpGT675P/j4+PJzIyksjISB5GRPAwIoIHDx5wPzyc1NTUjLZNNBqKFiyIj6MDPk5OFCtYMOO/7vZ2mXos/cPDKfr5F/RsOJ6qxRrn2NfvdUxc0xFzS1M2LPobIwPeEzs6Jor2fRthbaJhZJM6mBm/XWs47Lp8gz1Xb1Hcw51vRwzCzjr35tmHPginz7RvebdVK9atX8+iRYu4c+cOX3zxhQwxF0KIHCJFtxBvgZSUFN6p9w4Xb17E6wsvNDZ5+w1q9LFo7i69i2dZN0as7ouZlbwRzE2TG8+C4Cj2ehdRdMh3gk7HfW0qYala7mtTuZeq5Z42lfC0NOKABCBepyNWqyUqNTVLo1+M1GqMNRqMjYww0WiwMDHB3tISewtzHCwssLOwoJCNDc42NhSytsbZ1ga3AnZPFdYvYzZ0JDVLtuL92kNe/wuQA05c38maAzOZ9sl3NKjVTOk4L3T83GE+mTqIcu6F6Vq9Qp6afpAVZwJD+O3sJZzs7JgzaihuhXJ+O7eU1FQGz5xLikrN+fN+2NjYsGnTJrp27Yqvry/r16+nRIkSOZ5DCCHyGym6hXhLhISEUL5iebTOWtw/dkelzptvUKNPRnP357u4l3Jh5Nr+mFtLwZ2bUhJS+LjM5/Sys+Njp4JKx8mSh1ot79y+xS99PuL9SpVISk0lWaslTadLL66NjDB+/FDn0hxaj/ET0JgUZnS7H3KlvVcxbuV7uLq4smz2RoMvZOcsmcFvf62lQ+Uy1CzqqXScbHf7wUOWHjmDqYkJ344YRJmi3jna3tx1v/HH4WMcP36cSpUqZXz+woULdOzYkZCQEBYsWECPHj0M/t+GEELkJW/vcsdC5DNubm5s3LCRuCtxPNjyQOk4r+XR6UfcXXwX1xLOjFjTTwpuBexZdhitXk9z67wzjzY6LQ0ASxNTjI2MsDYzw9HKikI2NthbWmJlZoapsXGuFdwA5d1cuRNxizRdWq61mVUNy77PDf+rnLt0UukoLzWq72d4uxdly7nLhEQ9UjpOtita0IFRTWqj1aYy7NvvOXz+Yo61tf/MeX7be4BZs2ZlKrgBypcvz9mzZ+nYsSO9evWiR48exMbG5lgWQ+Xl5YVKpZJHFh5eXl5Kf7uEyFOk6BbiLdKwYUOmT59O+J/hxPjFKB3nlcScjyH0p1AKFy3IyLX9sbB5+/ceN0QnNp3BzdgY31xctOxNPXpcdFuYGM5Ce41LlkSblsK9KMNbm6NJhc6YmZiz6rfFSkfJkkVfrcHUxJSVR8+SmJL68hPyGCdrK8a3qI+FiYbPFi5m076D2d7GrTuhTF++hk4dOzJ06NBnHmNpacnSpUtZu3Ytv//+O5UqVeLs2bPZnsWQBQUFodfr5ZGFh6w7JMSrkaJbiLfMJ598QqvWrQhbHEbKg5SXn2AAYv1iCVkQQiFvJ0atG4BlgbdjMbi8JikuiYdBkbSysclTQ0tjMopuw9lO7v1KFQEIDr+hcJKnqdVqqhVrxpmLJ7h++4rScV7K2sqGmRMX8SgxiQ2nL76VO1dYmJowvmUDXGytmfPLRhb+thWdTpct146Ji+ezRUsoXqI4S5cte+nPdpcuXTh37hy2trbUrFmTOXPmvJVfcyGEyE1SdAvxllGr1axetRqXgi6ELgxFl5I9b9xySuw/sdyZf4eCng58vG4AVnaWSkfKt3b9fJA0vZ4WeWhoOUCMzvB6ul3t7DAzNiU4/LrSUZ6pXY0BGGtMWLN5qdJRsqRS2Wp0bvcR/4Te48jNQKXj5AiNWs2opu9Q2qUQv+zYw5dLVpKS+mY9+9q0NL5YvIIkbRq///4HFhZZu6Hp4+PDsWPHGD58OB9//DGtW7cmPDz8jbIIIUR+JkW3EG+hAgUKsHXzVlLDUglbE6Z0nOeKvRpLyPd3cHSz5+N1A7F2sFI6Ur52ass5vExMKJaHhpYDxKSl31gypKIbwMXWisAHV5WO8UwmGhPKetZi/7GdhIQFKx0nSwb3HE0x75L8eeEqQQ+jlI6TYz6qU4W6xb3Zd/oco+YsIDYh4bWv9dPmPzh37Qa//vrrK8/BNTExYdasWWzbto2TJ09SoUIFDhw48NpZhBAiP5OiW4i3VIUKFfj5p5+JOhRF5MFIpeM8Jf56PCHfhWBf2I7RGwZi45R7+9SKpyXEJBAVEkWrPNbLDRCrN8yiu6K7O6GR/mjTDHMe8od1RqBWG7H+9xVKR8myhdNXYWZqDf4EfwAAV5FJREFUzqpj50hIzhvTZ15HmwqleK9CKf655c+AGbO49/DVf4fvOnmadTv3MmvWLBo1avTaWVq2bMmFCxcoUaIEDRs2ZNKkSWi12te+nhBC5EdSdAvxFuvZsyf9+vXj/pr7JAYmKh0nQ/yteIJnB1OgkA0fbxiIbcG8V+i9bXYsPEAa0MIm7938iDfQnu6mpUqh06URFhmgdJRnsjKzwce5LH/u2UxkdITScbLEwsKS7yYvJjY5mXWnLqB7i+ca1yrmRa9alQkLf0i/aTO5GRyS5XOvB93hm5Xr6N6tGyNGjHjjLC4uLuzevZspU6Ywffp0GjRowJ07d974unlBr169aNeu3TOfq1+/PiNHjnzq81u3bs2YOz979mxsbW1JeMaIhaSkJAoUKMB33333zOsvXryYd955Bzs7O+zs7GjcuDGnTp16aeadO3dSo0YNrK2tcXJyokOHDgQE/Pt76Pz581SsWBErKyvatGlDVNS/I0e0Wi2VKlXi9OnTL21HCJF1UnQL8ZabN28eZcuW5e7Cu2hjlO+dSPBPIHhmMLaO1ozeMAg7Z1ulIwngzB/nKWZqirdJ3hpaDhBvgHO6AdpXrABAkIHO6wboXPdjdLo0Nv61VukoWVa2ZAV6fTCQq2EPOHjdX+k4OcrXpSDDGtYkMSmZgV/P5tTll09XiIqNZcKiJZQuU4affv452xZFNDIyYuLEiRw8eJCgoCDKly/P1q1bs+Xab7MePXqQmJjIpk2bnnpu06ZNJCQk0L1792eee+DAATp37sz+/fs5fvw4Hh4eNG3alNDQ0Oe25+/vT9u2bWnYsCF+fn7s3LmTiIgI2rdvn3FM3759adiwIefOnSM6OpoZM2ZkPDdr1izq1KlD1apV3+BVCyH+nxTdQrzlzMzM2LJpCxZ6C0K+D0GXrNzCaomBiQR9HYS1vRWjNwzC3qWAYlnEv2Ii4ogOe8S7eXBoOUC8To8KMNVolI6SiaOVFRYmZga5gvkTjjYuuNoX5bdta4lPjFc6Tpb16TyU0sXLsf3iNQLCDW/6THZysbPlk+Z1MVGrGfP9QrYfPfHcY7XaNL74aTlaVGzduhVz8+zferFOnTr4+flRr1493nvvPYYNG0ZSUlK2t/O2cHJyonXr1ixbtuyp55YtW0abNm1wcnJ65rlr165l8ODBVKhQgZIlS7J48WJ0Oh179+59bnvnzp0jLS2NadOmUbRoUSpVqsSYMWO4cOECqY8X5rt69Sr9+vWjePHidO7cmStX0ncx8Pf3Z9myZUyfPj0bXrkQ4r+k6BYiH/Dy8mLn3ztJC0sjZFEI+rTcH5KZGJxI4FeBWNlaMHrDQBzc7HI9g3i2HQv3oQNaWOe9oeUAiTodpsbGBrnNmVsBG4NdTO2Jju+MJDEpgT92blQ6yiuZN205lhZWrDx2jrikZKXj5CgbczPGt6yPg6UFM5avYfmffz+1jZder2fW2g1cuh3Apk2bcHd3z7E89vb2bN68mfnz57N48WJq1KjBtWvXcqy9vK5Pnz4cPHgw0xDvwMBA9u/fT58+fbJ8nYSEBFJTU7G3t3/uMVWqVMHIyIjly5eTlpbGo0ePWL16NU2bNsXYOH1bxfLly7N79260Wi179+6lXLlyAAwcOJCZM2dinUf/FghhyAyrW0AIkWMqV67M5k2bebfVu9xddReXXi65VqQkhSYROD0QC2tzRv86CCcPh1xpV2TNuW0X8TUzw93AhmdnVYJeh7mx4ezR/V+VPT1Yf+YcKdpkTDSGOXTfq2BJHG1c+GXrMt5/twvGxnnj34GZiRnfT1lK/086s/akH/3qVkNtgDdesouJRsPYZnVZfOgUS3/fxr2HkYzt1gmNxgiA1dt38dfhY6xcuZK6devmeB6VSsWQIUOoU6cOHTt2pFKlSq+8Qroh+Pzzz+ncuXOOttGsWTNcXFxYsWIFX375JQDLly/HxcWFpk2bZvk6n376Ka6urjRu3Pi5x3h5ebFr1y4++OADBgwYQFpaGjVr1mT79u0ZxyxZsoTBgwcza9Ysateuzfjx41m1ahUWFhZUrVqVZs2acfv2bTp16sS0adNe/4ULITJI0S1EPtK8eXOWLlnKRx99hLG9MQXbFszxNpPCkgicGoC5pRmj1w+koJdjjrcpsi76/iNiHsTQ9znDG/OCJJ0eCzPDLGhblC7NutNnCH14G+9CpZSO81wdag7ixx0T2XXof+3dd1gU19fA8e/C0osFscQCCir22I0VTcReYonR2EtssSfRaGKLxh57iYotaixYkthAMdgVFMUGKCBYUVBBpLO77x9G3vADERRcdjmf55lH2b0zc2ZRmDP33nMP0u7Tz7UdTpY5OVZlyFdjWPP7Yo77B/FZ5fLaDilXGRgYMNS5AbsvXuXQmXNEPI9i1vDBnPa7ytp9fzN9+nT69u37QWOqUaMGly5dYunSpURG6kZBvv+qWLFirp/D0NCQfv36sWnTJqZNm4ZCoWDz5s30798fQ0PDLB1j/vz5/PHHH3h5eWFqavrGduHh4QwePJh+/frRs2dPYmJimDp1Kt26dePo0aMoFAqqVKnCiRMnUvd5+vQp06dP5+TJk4waNYpGjRqxd+9e6tatS/369enQocN7fwZC5HeSdAuRz/Tv35/79+/z008/YVTIiEJNc2+Yd+LjREJn3MHE1IQJO4dR3CH3k3yRPYdWeKIGWuvofG6ARI06zxVRe61T9eooUBAWEZink+6qdp9QwLwwW9zW0qZ5JwwMdGf2WZ+ugznvexL365ewsylE+WL6/2Cve53q2FiYc+RGIENmz+dhxFP69unD1KlTtRKPhYUFkydP1sq5tcna2pro6Oh0r0dFRWFtnfZn6sCBA5kzZw7Hjx8H4O7duwwYMCBL51m4cCG//PILx44dSx0K/iYrV67E2tqa+fPnp762detWSpcuzYULF2jQoEG6fcaNG8fYsWMpVaoUXl5ezJo1CwsLC9q1a4eXl5ck3ULkAN35rSqEyDFTpkxhyJAhPNz0kJirMblyjqSIJEKmh2BsYsz4HcMo4VgsV84j3s+VI9epZmbGR3l0eHZWJGg0WJjkzaTb2twMCxNT7ubhCuavtandl/uP7nLGx0vboWTb4mnrsbK0Zuv5y7yIzx9FvVpUcqRNlQrcfxLxqsjW+vV5sq6BPnNycuLixYvpXvfx8UnXg+7g4ECzZs3YuHEjGzZswNnZGQcHh7eeY8GCBfz8888cOXKEOnXqvLV9XFxcut7z11+r1ekLqXp6ehIQEMA333wDgEqlSi24lpycjEqleus5hRBvJ0m3EPmQQqFg1apVtG3blgcrHxB/J2fX8E56mkTw1GCMlUaM3z6UkhWL5+jxRc54ev8ZMZEvaa/jRXOSNBos8vBSZ2UKFyT0cd4upgbQuHIHzE0s2ez2W7oiXXmdsbExK2ZvJiE5ha3nL6NW61b87yIqLp5zd+7hVNGJU6dPY5xHR3vog+joaK5cuZJmu3v3LiNGjCA4OJiRI0fi5+fHrVu3WLlyJa6urnz33XfpjjNo0CD27t3Lvn37slRAbf78+fz4449s2LABe3t7wsPDCQ8P5+XLl6ltVqxYwaeffpr6dbt27fDx8WHmzJncvn0bX19fBgwYgJ2dHTVr1kxz/Pj4eEaOHMnatWtTR7c0atSIlStX4ufnx549e2jUqNG7fmxCiP+QpFuIfEqpVLJr5y4+rvEx95fcJ+lJUo4cN+lZEiE/hWBkoGTcH0MpVfmjHDmuyHmHVrxadsbFUseTbrUGS5O8m3TXs7fjSfR9EpLitB3KWzWr8jn+t6/jd/OStkPJNge7Cozs/x0hEc/wuJF3l2nLCfFJyWw4cwnzAgVx9/CgQIEC2g5Jr3l5eVGzZs0029SpU7G3t+fUqVMEBwfj4uJC3bp12bRpE5s2baJ79+7pjtO1a1dMTEwwMTFJs272m6xatYqkpCS6detGiRIlUreFCxemtomMjCQ4ODj16xYtWrB9+3b2799PzZo1ad26NSYmJhw5ciTdEnIzZ86kffv2fPzxx6mvLVu2jCtXrtC0aVPat29P165d3+ETE0L8L4VG1x5nCyFyVEREBA0aNuBR7CPsfrBDaf3upR6So5IJnhKMocaA8X8Mxa567i1ZI97fd7Vm4JigZlsZO22H8l4aBd2mefVq7Bn6tbZDyZDbJV+6r1vP2A6Lcfwo8/mY2qZSq/h+U0dqVqvDoqm/aTucdzJ22mB8/M4xuEldnEroXx2JZJUK19MXiUxI5uy5c1SqVEnbIekNhUKhc6M8tEU+KyGyR3q6hcjnbG1tOep+FPMUc+4vu486Mf2cr6xIeZFC8JRgDNQKxm79WhLuPO7xnQhePo+lnQ4XUHtNrVDk2UJqAO2rVUWhMCAsMu/P6zY0MKSO42ec9z1NcKhu9hYv/GkNBa0Lse38ZaLicnbqjLap1Gp2eF/lXlQMBw4elIRbCCF0hCTdQgjKlSvHkUNHUD1U8WDNAzSq7D29TolJIWhyEAqVgjG/D6FszTK5FKnIKalDy3V8Pjfk/aTb1NgYK1NTwp7k/aQbXi0fZqQ0Yus+V22H8k6USiWr5vxOslrD7+cuo8qgeJQuUqs17Lp4jesPH7Nz506ZayuEEDpEkm4hBAB16tRhj9seYq7G8HDLwywPG0uJfZVwkwyjNw/GobZ97gYqcsQNzwDqmptTRKn7K0eqAXOjvJt0A5S1KUTYk5vaDiNLjI1MqVSqHsdOHiL8yUNth/NO7EqWZdzXUwh7+pzD13TjYUdm1BoNbpeuc/nuQ7Zt20anTp20HZIQQohskKRbCJGqTZs2rF+3nucnnvN41+O3Jt4pcSkE/xAEiRpGbRpE+XplP1Ck4n08vPWYl9FxtNWDoeUAKo0Gc+O8veRZg7JleRrzmLjE3FmiL6d92WQcCgMFf/y5SduhvLPOrXrQqI4zXoEh3HjwWNvhvDONRsM+3xv4hN5j8+bN9OjRQ9shCSGEyCZJuoUQaQwYMIClS5cSeTiSx7vfnHirElQE/xCMOl7DSNeBVGzw9vVGRd5waMUxDICWlpbaDiVHqDWaPD28HKBj9VcF1O5G6MY8aWvzQpQtWoU/PXYT9eK5tsN5Z3MnL8emUBG2X7jCs9i8Xz3+f2k0Gv66cpNzwWGsX7+e3r17azskIYQQ70CSbiFEOqNHj2bJkiVEHso48VYnqAn6IQhVrIoR6/pTqXF5LUUq3oW/VyANLCwopAdDy+F1T3feTrpdKjlhoDDQmaQboGeT8ahSUthzcLu2Q3lnBgYGrJ67FbUGtpz1JUWlO/O7NRoNB68GcOp2KKtXr2bgwIHaDknv2dnZoVAoZMvCZmen26teCPGhSdIthMjQmDFjWLx48avE2+3/E291kprbk2+jeqFi+Np+VGlWUcuRiuy4e/0+sTEJtNWDAmoAarUalVqd55NupVKJtZkZdyN0Z35xsUKlKVHInp1/byE+Qfd6iV8rWaw034+cwYPn0Ry46q/tcLLM/cYtvAJDWLp0KcOGDdN2OPlCaGgoGo1GtixsoaGh2v52CaFTJOkWQrzR2LFj+fXXX4k8GMnjPY9RJ6kJ+uE2qqgUhq7uQ7XmslyNrjm04jiGwKeW+pF0x/1bmdrCJG8n3QCOtkW481g3iqm91r3xaOLiYjlwbK+2Q3kvbVt0xrmhC6dvh+J375G2w3mrYzdvc+xmEAsWLGD06NHaDkcIIcR7kqRbCJGpcePGsWjRIiIPRBI4NpDk5ykMWdmbGi2raDs08Q5unb5NIwsLChgaajuUHPH836Q7r/d0AzQsV5bouKfExOvOHGnHEtUobFWMrXtdSUlJ1nY472Xmt4soalOMnd5+RMbEajucN/onIJgj128xa9Ysvv32W22HI4QQIgdI0i2EeKvx48cze/ZsVHEqqrWoxMetqmo7JPEOQi7fJS42UW+qlgNEq1SAbiTdnT+uAehOMbXXOtf/mshnTzh26rC2Q3kvBgYG/DZvOxqFAZvPXiL53387ecmJwBAOXg3gp59+YsqUKdoORwghRA6RpFsIkSWTJ09myZIlXD12k53T/0St1p2CROKVwys9UQIt9KRqOUC0DvV0NytfHkMDQ52a1w1Q06EZVuaF2LJn3VuXEczrihYpzo9jfiE8OoY/L+edof4ajQaPG7f428+fyZMnM2PGDG2HJIQQIgdJ0i2EyLIxY8awZs0avLacZfvkvah1qBKwgKCzwTSztMRST4aWA7zQoZ5uAwMDCpqZEfZEt5JugFYff0XY/RDOXTqp7VDe22dN2uLi3IHzIXfxDXug7XDQaDT87eePx43bzJkzh9mzZ6NQKLQdlhBCiBwkSbcQIluGDh3Kpk2bOLv7Ipu/3YUqJe8N0RTpBZ4PJj4+Sa+GlgO8UP+bdBvl/aQboGKxooQ+0Z0K2q81rdIJMxMLtrit03YoOeLH0b9QomhJdl28ypMXL7UWh1qtwe3SdU7eusPKlSuZNGmS1mIRQgiReyTpFkJkW79+/fjjjz+4dOAqrqP/IDkxRdshibdwX/0PxgoFzfRoaDlAjEp3hpcDNHZ04GVCNFGxEdoOJVsMDAxoXKkD1wIucz3girbDeW+v5ndvw8BAyaazl0jSwsPDFJWa7d5XuBh2ny1btjBixIgPHoMQQogPQ5JuIcQ7+eKLL3Bzc+PG8QBW9N9A3It4bYckMhFy4Q7NLS0xN9CvH/sv1bozvBygi44WUwNoV3cAxkYm/L5nvbZDyRE2hWyZ8e0iImJestf3+gc9d2JyChvPXuLGowh273ajT58+H/T8QgghPiz9uvsSQnxQnTp14ujRYzwOjGRht9U8e6A7SyHlJzdOBJKQmKx3Q8sBYtWvCnuZGxtpOZKsqWtvj9JQqZNJt9JASa2yzpz2+Yc794K0HU6OaFq/Be0/68rF0Pt437n3Qc4Zm5jE2lM+PHgRi7u7Ox07dmTv3r0kJiZ+kPMLIYT48CTpFkK8lyZNmnDu7DmMko1Z0HUV924+1HZI4n94/OaFqUJBEwsLbYeS42L/7ek205GebgMDAwqbm+nkvG6Aro1GoDQ0Ytu+DdoOJcdMGjmT0iXs2HvpOo+iXuTquZ7HxrPqxAViNQpOnDxJ8+bNef78Ob169aJPnz6o8uAyZkIIId6fJN1CiPfm5OTEhfPelCvtwKIv1nDjhO5VZ9ZnoZfC+NTSClM9G1oOEKfWYGRoiKEOXVul4sUIexKgk8tvmRlb4lSyNh5eB3gSGa7tcHLMmnnbMFQasfmsLwnJuVOjIjw6hlUnLmBiVYCz585Rq1YtAIoUKcLOnTvZu3cvw4cP18l/F0IIITKnO3cpQog8rVixYpzwOkkL5xasHLSRM7t8tB2SAK54XCcxKYW21lbaDiVXxKvVmBrpxtDy15wrVCA+KZZnLx9rO5R38mXTcQDs/GuLliPJOQWtCzF70lKexcbhdvFajie+geERrPK6wEdl7Dh3/jzly5dP836nTp1wdXVl3bp1/PDDDzl6biGEENonSbcQIsdYWFjw5/4/GTxoML9P3M3fiz2k10bLjq0/ibmBAY3M9W9oOUC8Rq0zRdRe61LzYwCdXK8boKBFEcrYOrHvyE5evIzWdjg55pNaTejSrhdX7j3kXPDdHDvumduhuJ6+SFNnZ86eO8dHH32UYbt+/fqxePFi5s2bx/z583Ps/EIIIbRPkm4hRI5SKpWsWbOGOXPmcHDZMbZ8vxtVssxT1Aa1Ws3dK/dwsbTCWIeGX2dHolqjM0XUXqteqhRGhkbcjdDNpBvgyyZjSUpOYt/hHdoOJUeNGzyZsqUd2H/5Bvefv98DBZVazV7f6+y7fIPRo0fz94EDWFtnXsxw7Nix/PTTT0ycOJF16/RjTXQhhBCSdAshcoFCoWDSpEls27aNi3/6sXLQRuJjErQdVr5z6eBVkpJVtNHToeUACRo15sYm2g4j24pYmhMWEaDtMN5ZSZtyFCtYmh1/biYxUb/+b6+esxUTYxM2n7lEfFLyOx0jPimZDWcu4X3nPmvWrGHx4sUolcos7TtjxgxGjhzJsGHDcHNze6fzi3djb2+PQqGQLZubvb29tr91QuR5knQLIXJNr1698PDw4P7VcH7t8RvPH0VpO6R85fjG01gZGNBAT4eWAyRqNFia6NbwcoCqH5Ug7Ekgao1a26G8s+4NR/HiZTQHPfdpO5QcZWVpzfwfVxMdn8BOn6vZniITGRPLSq/zPI5LxN3Dg6FDh2Zrf4VCwbJly/jyyy/p1asXR48ezdb+4t2FhYWh0Whky+YWFham7W+dEHmeJN1CiFzl7OzM2TNnIVbB3I4ruHU+WNsh5QtqtZoH1+7T2soKI4VC2+HkmmSNBgsd7OluXrECSSkJREQ/0HYo76xiqZoUsizK1r2upKhyp+K3ttSqVo+enQdw/UE4p2+HZnm/4CdPWf7PeSxtbLng7U2LFi3e6fwGBgZs2rQJFxcXOnfuzLlz597pOEIIIfIGSbqFELmuSpUqXPS5RM1qtVjSex3H1p+UAmu57MJeX5JS1LS2ynwOqa5L0miwNNG9pPuL2rUBuBtxS8uRvJ+O9QbzOPIRXmc9tB1KjhvRbwLlyzrxt58/YU+fv7W9d8g91p3yoV6DBnj7+FChQoX3Or+RkRG7du2iVq1atGvXjuvXr7/X8YQQQmiPJN1CiA+iaNGiHPU4yrcTvsVt9gFcR20nITZR22HprX+2nKWAoSF1zc21HUquUikUOle9HMDB1hZjpbFOF1MDqFv+UyzNCrDFba1ePkhbNXsLpiZmbD7rS1xiUoZt1GoNf/v5s+viVQYOGoS7hweFChXKkfObm5vz999/Y2dnh4uLCyEhITlyXCGEEB+WJN1CiA9GqVQyb9483Nzc8D8RxPzOKwkPfqLtsPROSkoKj24+pK2VFUo9HloOoFYodK56+WvFrCwIfaK7xdRe+6x6D4LDbuN95ay2Q8lx5uYW/Dp9HS8TE/nD2w/1/zxYiElIZP1pH07dDmXJkiWsWbMGoxxeN75gwYIcOXIES0tLWrZsyaNHj3L0+EIIIXKfJN1CiA+ua9euXPS5iJVRAeZ1XsHlI9e0HZJeObvTh2SVmjZ6PrQcQIVGJ3u6AaqXLMm9yNuo1bq9pF6L6t0xNTZni9tabYeSK6o5fUz/7sPwf/SEE4H/39McGvmMZcfP8TxFzbFjxxgzZgyKXHrIVaxYMY4ePUpiYiIuLi48e/YsV84j0uvfv3+aSt02Nja0bt2aq1evpmn3+v3z58+neT0xMREbGxsUCgVeXl7cunULc3Nztm/fnqadWq2mYcOGfP755xnGERgYSPPmzSlWrBimpqaUK1eOH3/8keTkN1fYDw0NZdCgQZQtWxYzMzMcHByYNm0aSUn/P2rj2bNndOjQAUtLS2rVqoWfn1+aY4wYMYJFixZl6bMSQryZJN1CCK1wcnLC54IP7dq057fhv7Nv3iFUKbqdfOQVJ7edx8bQkFpmZtoOJdepNehs0v2ZU0VSVEmER93VdijvxcDAgE8qtuXKjYv439bPB2iDen5DlQrVOXQ1gJCIZ5y8dYfVXheoVK06l6/40bx581yPwc7ODg8PDx49ekT79u2JjY3N9XOKV1q3bs2jR4949OgRnp6eKJVK2rdvn65d6dKl2bhxY5rX9u3bh6WlZerXFSpUYO7cuYwaNSrNqIVFixYRFBTEb7/9lmEMRkZG9O3bFw8PDwIDA1myZAnr1q1j2rRpb4w7ICAAtVrNb7/9xo0bN1i8eDFr1qxh8uTJqW1mz55NTEwMvr6+NGvWjMGDB6e+d+7cOby9vRk7duxbPyMhROYk6RZCaI2VlRW7du5i4cKFHFt3iuX9NhDz9KW2w9JpKUkpPA4Mp621NQZ6PrQcQK3R3Z7ubrVrAej8vG6ATvUGYWxkwu971ms7lFyzbNZGLMwt+e3Eef66cpMxY8fideIEJUuW/GAxVK5cmcOHD3Pt2jW6dOlCYqLUxfgQTExMKF68OMWLF+fjjz9m4sSJ3Lt3j4iIiDTt+vXrx44dO4iPj099bcOGDfTr1y9Nu1GjRvHxxx8zZMgQ4FVyPHXqVNauXUvRokUzjKFcuXIMGDCAGjVqYGdnR8eOHfnqq684derUG+Nu3bo1GzduxMXFhXLlytGxY0e+/fZb9u7dm9rG39+fL7/8kgoVKvD1119z8+ZNAJKTkxk+fDhr1qzB0NAwex+YECIdSbqFEFqlUCiYMGECx44d42nQc+Z0WM6dK7rd86dNJ7aeI1mtyRdDywFUOpx0lypUCFMjE52vYA6gVBpT3a4xJ857cvdBqLbDyRVh90KwsrTGwFDJ1q1bWbRoUY7P386KunXr8ueff+Ll5UWfPn1QqWSE0If08uVLtm3bhqOjIzY2Nmneq127NmXLlmXPnj0A3Lt3j5MnT9KnT5807RQKBRs3buTUqVOsW7eO/v3706NHDzp37pzlOIKCgjhy5AjNmjXLVvzR0dEULlw49esaNWpw/PhxUlJScHd3p3r16gDMmzcPZ2dn6tSpk63jCyEyptR2AEIIAa/W8/a9dJlu3buxqMcaPp/Ulub9GmJgIM8Gs+P0Tm+KKpXUMDXVdigfhC73dAOUsLbkzhN/bYeRI75oNJord06wff9GJo2coe1wcoxGo8Ht4HZWbl5ItWrVOHX2JA4ODlqNqUWLFuzcuZOuXbvSp0+fd14PXLzqDS5VqlSmbQ4cOJA6RDw2NpYSJUpw4MCBDH8/DRgwgA0bNtC7d282btxI27ZtsbW1TdeuTJkyLFmyhMGDB1OyZEnc3d2zFG/Dhg3x9fUlMTGRr7/+mpkzZ2ZpP4Dg4GCWL1+eZo72pEmTGD58OA4ODtjb2+Pq6srt27fZsmUL586dY9iwYXh4eFCnTh3WrVtHgQIFsnw+IcT/k6RbCJFnlCpVipMnTvL999+zdOZSrh8PoO/8bhQqUVDboemEpIQkIm4/oXfBQrlW0CkvSVCrUWs0WOhw0v1x6VL8dfUGKapklIa6WYX9NXNTS8qXqMmh4/sZ3PMbihROn2jomhcvo5m7Yionzh9j7NixzJ07F5M8si58586d2bBhA8OGDeOPP/7Qdjg6a/HixW+ds9y8eXNWr14NvCo8tmrVKtq0aYO3tzd2dnZp2vbu3ZtJkyYREhLCpk2bWLZs2RuPO2DAAH766SdGjx6d5WR2586dxMTE4Ofnx3fffcfChQv5/vvv37rfw4cPad26Nd27d08zb7tAgQLpirq1aNGCBQsWsG3bNkJCQggMDGTIkCHMnDlTiqoJ8Y6kC0kIkacYGxuzZMkSPDw8iAp5waw2S7h44Iq2w9IJ/2w+S4pGQxsrK22H8kG8+Lfqty73dLeqXAmVOoVHz0O1HUqO+LLJWDQaDbsP/K7tUN6b381LDJzQHT//i+zfv5/FixfnmYT7tX79+hEfH49Go5HtHbesFAmzsLDA0dERR0dH6tWrh6urK7Gxsaxbty5dWxsbG9q3b8+gQYNISEigTZs2mR5bqVSiVGa9D6x06dJUrlyZnj17MnfuXKZPn/7WKQYPHz6kefPmfPLJJ6xdm/kqAxs2bKBgwYJ06tQJLy8vOnfujJGREd27d8fLyyvLcQoh0pKkWwiRJ7Vs2ZLr127QtlU71o/azoaxfxAbHaftsPK0s7t8KGFkRNV8MrQ8KkX3k+6utV4VUwt7ovvF1ABsrItT2sYRt0PbeRkbo+1w3kliYgLLN8xn5JR+lHWw44rfFTp16qTtsEQeolAoMDAwSFMw7b8GDhyIl5cXffv2zdUiZBqNhuTkZDT/s378fz148ABnZ2dq1arFxo0bM52yFRERwc8//8zy5csBUKlUqUuSJScnS/0AId6DJN1CiDyrcOHC7Nyxk23bthHgFczsNksJOHNb22HlSUlxSUTeiaSdlVW+GFoOEK3S/aS7iKUl5samelFM7bUeTcaSmJjAfved2g4l227eusrAb7uzz30H8+fP5+TJk+mGD4v8JzExkfDwcMLDw/H392fUqFG8fPmSDh06ZNi+devWREREZGu+9dts27aNXbt24e/vT0hICLt37+aHH36gR48eqT3l3t7eODk58eDBA+BVD7ezszOlS5dm4cKFREREpF5HRsaMGcOECRNSK/I3atSI33//HX9/f9auXUujRo1y7HqEyG9kTrcQIk9TKBT06tWLJk2a0K9/X5b0Xseng5rQ+bvWGJno9hzYnHTU9SQqTf6pWg7wQq0GdDvpBihZ0IpQPSmmBlDGtgK21qX4Y/8murfvg4lx3hqSnZGk5CQ27lzN1r3rqVmzFgeP/E3lypW1HZbII44cOUKJEiWAV0tdOjk5sXv3bpydnTNsr1AoKFKkSI7GoFQqmTdvHrdu3UKj0WBnZ8fIkSMZN25capu4uDgCAwNTe6c9PDwICgoiKCgoXbG4/+0dd3d3Jzg4mK1bt6a+9s0333Dx4kXq169PvXr1Ml0TXAiROYUmszEpQgiRh6jVapYuXcqkHyZRpExh+i/uQZkqH26N3Lzsp2ZzMX0Uw5Gy5fJNT/e+qCimPA7H78fJVH9L9eG8rOd6V3ZdusyigQcxUur2A4TXbt7zYdWhSUwcMZ2OLt21HU6mboX4M3vZZMIe3GHq1KlMmjQpW3Nshf5QKBSZDtUWGZPPTYi3k+HlQgidYWBgwLhx47h08RI25rbM/3wlR1b/g1ql1nZoWhUXk8Cze89ob22dbxJu0I9CagBtqlZBrVHz4GmwtkPJMZVL16WgRRF+37M+z84DTUlJZsPOVQz57kvMrEzw8fHhxx9/lIRbCCFEjpOkWwihc6pWrYrPBR++nfAtfy44wqIv1vDwVsZz1PKDo795odJA63w0tBzgpZ4ML+9cvQYKFIRF6Ecxtdfa1RnAw8f3OXnBU9uhpBNyN4ihk75i0641TPphEhcvXqRGjRraDksIIYSekqRbCKGTTExMmDNnDidPnsQg1ohf2i/jz4VHSEpI1nZoH5z3/suUNTamfB5bzii36UvSbW1uhrmJKXf1LOn+xKk1FqZWbHFbm2eGnqaoUti215WBE7qDUsW5c+f4+eefMdbxf0NCCCHyNkm6hRA6rXHjxlzzu8aUyVPwXHeK2W2W5KsK5y+j4nj+4Dnt81kvN0CcniTdAHaFC+hVMbXXmlftyq0Qf3yvXdB2KFwP9GPId1+y+vfFjBkzmsuXL1O3bl1thyWEECIfkKRbCKHzTExMmD59On5+V6lQxoklvdexafwOYp6+1HZouc591T+ogTbW+S/pjlWrMVAoMMrFdXA/lLp2djyJuk9icsbr/uoql5pfYWJsxu971msthhcvo5m/egbDJn2FRQFTLly4wIIFCzDNJ+vZCyGE0D5JuoUQesPJyQmvf7xYv349AV4hzPhsESe3n9frQmsX/75CeRMT7PWgtze74tUaTI2M9KJ4XNtqVdGg4V6kfo3SMDAwoH75Vvj4neNWyIftyddoNBz+5096fdOef84eYenSpfj4+EjvtngjOzs7FAqFbNncZC17Id5Okm4hhF4xMDBg0KBBBAYE0q1zd7ZP2cv8LqsI9bun7dByXHREDNHh0flyaDlAvEaNmZF+rNXesVo1FAoFdyNuaTuUHNe5wVCMlMZs3ev6wc4ZFBrIqJ8GMGvpZFq1ciEgMIBRo0ZhqAejIkTuCQ0NRaPRyJbNLTQ0VNvfOiHyPEm6hRB65dGjR3Tt2hUDAwM2btzI6dOnsVIUYN7nK9g2ZQ+xUXHaDjHHHFl1HDXQ2spK26FoRYJaoxfzuQFMjY2xMjHTy6TbWGlM1TKfcPzMER6E5+7Drxcvo/l17WwGjO9GbFI0Hh4e/LHjD0qUKJGr5xVCCCEyI0m3EEKvjB8/nlOnTmHybyXvRo0a4XvRlyVLlnDlwE2mt1jIye3nUaXkzbWDs+PyoatUNjWltJ4kntmVoFFjbqI/125vU4g7j29oO4xc0aPxaAwMDPlj/8ZcOb5KpeIvj930HNkO9xN/MW/ePK5du0bdunVxc3PLM9XThRBC5E+SdAsh9IaHhwc7duxg0aJFWP2n91epVDJ69GhuBd6ic4fP2T5lL7NaL+Gy+3WdvRl//iiK6CcxtMunvdwAiWo1Fnr0wOGTcmV5GhNOXKL+FQC0NCuIQ7FqHDi2l+dRT3P02H43LzF0Ui/mrZpOh47tuXX7Ft9++y3GxsYEBATQvXt3/vrrrxw9pxBCCJEdknQLIfRCQkICI0eOxNnZmd69e2fYpnjx4mzZvAVfX1+qlqvOb8O2sLDbaoJ87nzgaN/foRWeaIDW+XQ+N0CSBiz0aG3y9tWqAuhdMbXXejYdh0qtYvfBrTlyvKDQQL6bNYIRk/tiZmXMmTNn2LJlS5qh5PXr16dt27aMGTOGuDj9mVoihBBCt0jSLYTQC3PnziUsLIzVq1e/tZp1zZo18fDw4OjRo1hTkIVfrGbV4E08vP34A0X7/vzcr1PdzIwSelJI7F0kadRYGutP0u1SuTIGCgPuRgRoO5RcYVugJB8VKsfuA9uIjY995+M8CL/HjMUT6T+uK0+iHrBz5058fHxo2LBhurYKhYJly5YRHh7OnDlz3id8IYQQ4p1J0i2E0Hm3bt1izpw5fP/99zg5OWV5v88++4yLPpfYvn07L0JimdV6MVsm7ub5o6jcCzYHRNx7SszT2Hw9tBwgRaHAQo/mdBsrlVibmRH2JFDboeSaL5uMJT4hjr89dmd732dRkSxaO4uvvunA1cBLrFmzhps3b/LFF19gYPDm2xkHBwcmTpzI/PnzuX1bP0cRCCGEyNsk6RZC6DSNRsOIESMoVaoUU6ZMyfb+BgYG9OzZk8CAWyxevJjA48FMa7GAffMOEfciPhcifn+Hl3sC0CqfJ90q0Jvq5a85FLEh9MmHXc/6Q7IvVgkbqxJs27eR5OSkLO3zMjaGtduW8cXwNhw/c5hZs2cRHBzE119/jVEWR3pMmjSJjz76iFGjRulsHQchhBC6S5JuIYRO27FjB56enqxYsQIzM7N3Po6xsTGjR48mJPgO3387kZNbLjC12XyOrjtBcmJyDkb8/q4du0ktM3OKKvPv0HIAtUKhd0l3w3LliIqNJCY+Stuh5JounwznWVQkHicPZtouMSmRP/Zv4ovhrdl1YAtjxowm5E4I33//Pebm5tk6p5mZGcuWLcPd3Z19+/a9T/hCCCFEtknSrWPs7e1RKBT5frO3t9f2t0LkAVFRUYwbN45u3brRpk2bHDmmtbU1P//8M8FBwfT64iv2zzvCNOcFHHM9SUJsYo6c4308Do7g5fO4fD+0HECt0Z91ul/rXLMGAPf0cL3u16rbN8TavDBb3NahVqvTvZ+cnMRfR93oObItq3//lS979iAoKIg5c+ZQqFChdz5vhw4daN++PWPHjiU29t3nlAshhBDZJUm3jgkLC0Oj0eT7LSwsTNvfCpEHTJkyhdjYWJYsWZLjxy5RogS//fYbN27coEOrTuyfe4QfG8/l7yUevHyuvRv2g8uPAdBSkm7U6N/wcufy5TEwMORupP4m3QCta/Xh/qMwzvh4pb6WkBjP7gNb6TGiLfNWTqN5C2f8/f1Zs2YNH330UY6cd+nSpTx58oTZs2fnyPGEEEKIrJCkWwihk3x8fFi9ejU///wzJUuWzLXzVKxYkU2bNhEUFMTAvoPwXHuaKY3msuvnv7RScO3mPwHUM7fARqn84OfOa1QaDebG+jXE3sDAgIJmZoQ+0c8K5q81rdIRcxNLtritJeblCzbvXku3oS4s3zgfl9afcf36df7Y8Qfly5fP0fOWK1eOH374gYULFxIYqL8F68S7yQ+jCWWkoBDaodBIRRGdolAopAgM8jnkdyqVinr16qFWq/Hx8UH5ARPQiIgIli9fzrLly4iNjaVe549xGepMcYeiuX7uBwGP+LnNYmYWK063ggVz/Xx5XbVbgSzq1pUxn7bQdig5quH8BVx/9Jw5ffdoO5Rctffsao5fc8PM1Ay1Rs3AgQP57rvvKFu2bK6eNz4+nqpVq+Lg4IC7u/tblxgU+Ud+uLfID9coRF4kPd1CCJ2zatUqLl++zJo1az5owg1ga2vLzJkzuXf3HnPnzOXOmfvMaLmI34b/TqjfvVw996HlnhgAn8nQctRq9b893fo1vBygsYMDMfFRRMVGajuUXPHoWShbvRZw4uZ+jI2N+ar3V9y5c4dVq1blesIN/19U7ejRo+zZo98PNoQQQuQNknQLIXTKw4cPmTJlCkOHDqV+/fpai8PKyooJEyZwJySUtWvX8iI4jrmdl7O09zr8T9/OlZ6EgJO3aGhhQUFDwxw/tq558W8BLgsTEy1HkvO61PwYgLt6VExNo9Fw68Fl1hyZzOzdgwh7cZU5c37h8ePHrFu3jhIlSnzQeNq1a0fHjh0ZN24cL1++/KDnFkIIkf9I0q0n+vfvT+fOnVO/Dg8PZ9SoUZQrVw4TExNKly5Nhw4d8PT0TG1jb2+faQEqZ2fnDOcDtWvX7o37JCQk0L9/f6pVq4ZSqUwT02uXL1+mZs2aWFpa0rFjR54/f576XkpKCrVq1cLHxydb1y/yj3HjxmFmZsYvv/yi7VAAMDExYfDgwQT6B7Jr1y5M4sxZ2mcds1ot5p9NZ3Jsre/Qq/eIfZlAWyvrHDmerov+N+nWtzndAPXs7VEaKLkboftzjpOSEzgf6M6C/SNYduBbNJaxbN68mdDQO3z33XcU1OI0iaVLlxIZGcmsWbO0FoMQQoj8QZJuPRQaGkrt2rU5fvw48+fP59q1axw5coTmzZszcuTILB9n7969PHr0KHW7fv06hoaGdO/e/Y37qFQqzMzMGD16NJ999lmGbQYPHkyLFi3w9fUlKioqTfK0cOFCGjduTN26dbN+wSLfcHd3Z9euXSxatOi9lg7KDa//b/heusyxY8doUKMRe2Yf5If6s9n83S5CLoe9V+/34ZXHUQKfWlrmXNA6LEqlAvSvejm8KqZWyMKMMB1Ouu8/DWbnqaX8uL0HW73mU7G6He7u7ly7dpW+fftinAe+b/b29kyZMoVFixbh7++v7XCEEELoMUm69dCIESNQKBR4e3vTrVs3KlSoQJUqVRg/fjznz5/P8nEKFy5M8eLFU7ejR49ibm6eadJtYWHB6tWrGTJkCMWLF8+wjb+/P0OGDKFChQr07NmTmzdvAhASEsKGDRtkKReRofj4eEaOHEnz5s356quvtB3OGykUCj799FPcdrtx7949pv40jQcXnzC/y0rmtF/Gia3niI9JyPZxb58OorGlJVYytByAF6oUQD+TboBKxYsR+thfpwoeJSbHc9b/IAv3j2Su29cERl5gzLhRBAUF4XHUAxcXlzxXtOzbb7/F3t6eUaNG6dRnLT6Mt1UC79+/f4b7rV69murVq2NtbY21tTWffPIJhw8fzvJ5z5w5g1Kp5OOPP07z+tGjR6lQoQIFChSgX79+JCUlpb4XHR1NhQoVuHv37rtcqhAil0nSrWeePXvGkSNHGDlyJBYWFunef5+hfK6urnz55ZcZHjc7atSowdGjR0lJScHT05Pq1asDMGzYMObPn4+VFIkSGZgzZw53795l1apVee7G/U2KFy/O5MmTCQkK4fDhw3xcvjY7p/3JDw1ms/UHN8Ku3c/ScYIuhhIXl0hb+b+R6v+Hl+tn0t2sfHnik17y/OUTbYeSKY1GQ1hEIH+c/JUp277gj1OLcappz969e7l//x6//PILDg4O2g7zjUxNTVm+fDmenp7s2rVL2+GIPOa/o/2WLFmCtbV1mteWLl2a4X6lSpVi7ty5XLx4kYsXL9KiRQs6derEjRs33nrO6Oho+vbty6effprmdbVazVdffcWwYcM4e/Ys3t7erFu3LvX9iRMnMmzYMMqUKfN+Fy2EyBWy0KueCQoKQqPR4OTklKPH9fb25vr167i6ur73sdavX8+IESNYuHAhjRo14ocffmDLli2Ym5tTt25dWrVqRXBwMF9++eVb59qp1WqCgoLeOyaRt4WHhzNv3jwmTpyY4/+2PwRDQ0Nat25N69atefDgAa6urvy27jdO71iGfbXSNOpZj7odP8bUIuOiYEdWHcdIoaC5DC1PFaPS76S7W62a/HzoMGERgRS2KqbtcNKJT3zJxaDjnLt1iLtPbvPRRyX5fuK3DBw4EDs7O22Hly2tW7fm888/Z/z48bRt21Ye/IpU/x2xV6BAARQKxRtH8f1Xhw4d0nw9e/ZsVq9ezfnz56lSpUqm+w4dOpRevXphaGjI/v37U1+PjIwkIiKCESNGYGpqSseOHVNHCp45c4aLFy+ycuXKbFydEOJDkqRbz7weHpfTPYGurq5UrVqVevXqvfexqlSpwokTJ1K/fvr0KdOnT+fkyZOMGjWKRo0asXfvXurWrUv9+vXT/fL6ryVLljBhwoT3jknkfQ4ODkyePFnbYby3kiVLMnXqVCZPnszhw4dZ89satk/Zy95fDlGjVWXqdaxJxYYOGCr/fxh58PlgnC0ssTCQoeWvxeh5T3f1UqUwMjTibkQgNcs11XY4wKvfL3ce3+RswCEu3/EiRZVM27ZtWTV0Ma1bt8ZQh6c+LF68mEqVKjFz5kwWLFig7XCEHlGpVOzevZvY2Fg++eSTTNtu3LiR4OBgtm7dmq7TwdbWlhIlSuDh4UHLli05depU6hDz4cOHs2HDBp3+PyiEvpOkW8+UL18ehUKBv79/hpXD30VcXBw7duxg5syZOXK8/zVu3DjGjh1LqVKl8PLyYtasWVhYWNCuXTu8vLwyTbpHjhwpRdfyiapVq2JmZqbtMHKMUqmkQ4cOdOjQgbCwMDZu3MjW7VtZtmc9BYpYU7NtVep1qklSfBLx8cm0+chW2yHnKS/1uJDaa0UszQl7EqDVGDQaDXcjb+Eb5MWVsBM8jX5M6dJl+PGnKQwYMICSJUtqNb6cYmdnx48//si0adO4efOmzkxhEe9v1KhRtGrVKsePe+3aNT755BMSEhKwtLRk3759VK5c+Y3tb9++zaRJkzh16hRKZfrbc4VCwa5duxg3bhxjxoyhbdu2DBw4kDlz5vDpp59iZmZGo0aNiIyMZNSoUXzzzTc5fk1CiHcnSbeeKVy4MK1atWLlypWMHj063fzrqKiobM/r3rVrF4mJifTu3TsHI33F09OTgIAANm3aBLx6IpycnAyQ+mdmTExMaNKkSY7HJcSHZGdnx/Tp05k2bRq+vr5s376dP3Zsx2vLWQyNXvVc2Bgq0Wg0kgz8K1aj3z3dAFVKFOdUcOAH/75rNBoePgvhUrAXV0JP8OT5A2wK29C9Z3d69OhB06ZNMTDQv5IwEyZM4NGjR9y/n7VaC0I/5FbvcMWKFbly5QpRUVHs2bOHfv36ceLEiQwTb5VKRa9evZgxYwYVKlR44zEbN26cZknVW7du8fvvv3P58mWaNm3K2LFjad26NVWrVqVp06apNXOEENonSbceWrVqFQ0bNqRevXrMnDmT6tWrk5KSwtGjR1m9enW2l0ZxdXWlc+fO2NjYpHtvxYoV7Nu3L8363zdv3iQpKYlnz54RExPDlStXANJV4XxdjXrHjh2pN3CNGjVi5cqVjBw5kj179vDrr79m7+KF0GEKhYLatWtTu3Zt5s+fz6lTp1i8eDH/HDtGv3t3KWlqSkszc1ysrKhuaopBPk7A4/6d022aQY+QvmhRsSLHAgKJePGAogVK5eq5Xvdo+4Wc4urdM4Q/u0sB6wJ0696NHj160Lx58wx73/SJiYkJy5cv13YYQk8YGxvj6OgIQJ06dfDx8WHp0qX89ttv6drGxMRw8eJFLl++nNpDrVar0Wg0KJVKPDw8aNGiRZp9NBoNX3/9NYsWLUKtVnP58mW6deuGubk5zZo148SJE5J0C5GH6Pdv0HxErVan3hCVLVsWX19fZs+enfrk3tbWltq1a7N69epsHffWrVucPn0aDw+PDN+PjIwkODg4zWtt27YlLCws9euaNWsCpFuOZebMmbRv3z5NMr5s2TJ69epF06ZN6dWrF127ds1WvELoC0NDQ5ydnXF2diYlJYWTJ0/i5ubG3t272XQ3jGKmpnxmakYrKytqmplhmM8S8FiNGhOlUi97XF/rVqsmk//8i7sRt3Il6VarVQSHX8fvzimu3T3L0xePKVSwEJ0/70zXrl1p2bJlnlhPWwh9oNFoSExMzPA9a2trrl27lua1VatWcfz4cdzc3Chbtmy6fVxdXbGxsaFjx448f/4cIM1IQdW/U3CEEHmDQiMLU+oUhUKR4VqirVu3xtHRkRUrVmghqg/vTZ+DEPpOpVJx9uxZ3Nzc2LNzJw8eP8bGxIRPTExoYG5OA3MLPjIy0naYuW7IvXtc16iJWrxI26HkKpNvxtK4cke6fDI8R473Iu4ZAfcvEfjAF/8HPryIfU6J4h/RtVsXunTpQpMmTVAqlQQHB1OqVClMTDKuqC+EPsrs3mLTpk2MHTuWqKiotx5n8uTJtGnThtKlSxMTE8OOHTuYO3cuR44coWXLlgD88MMPPHjwgC1btmR4jOnTp7N///7U0YL/9eTJE+rVq8eZM2dS6ypUrlyZHj164OLigouLC56enhkWv5X7JyG0Q3q6ddzz5885e/YsXl5eDBs2TNvhCCFymaGhIU2aNKFJkyYsXrwYb29v9u/fz9EjR/jp6lU0Gg1lzMyob/wqCa9vbk5hPRwWnKBRY5YPHi4UszIn9En2pgT9V0JSHEGPrhL4wJdbjy7zIDIEgGpVqzP8m6/5/PPPqVu3broRA127dqVVq1bMmzfvveIXIj96/Pgxffr04dGjRxQoUIDq1aunSbjh1Rrgd+/efafjjxkzhm+//TZNIcNNmzbRr18/li1bxnfffZcjq80IIXKO9HTrmP99Qvn555/j4+NDv379mDVrVr4psiRPaoVI79mzZ3h5eeHp6YmnhweB/65h72RhQX1jYxqYW1DH3BwLPRiS3T00lARrK4J+nqHtUHJVuxUrOep/m0UDD2CQhSXjVKoUQiMCCLzvy61HvtwJ90elTqHkR6Vo1dqFli1b0qJFC4oWLZrpcUaMGMGhQ4e4c+dOvvm9IkR+uLfID9coRF4kSbeOkR+Wr8jnIMTbPXjwgOPHj+Pp6ckxd3cehIejNDCgmpk5DUxNaGBuQQ1TU4x1MAnveCcEc1tb/H6aou1QctWvx44xwW0vU75wpUQh+3TvazQawqPCCLzvS+BDX4IeXSU+MZYC1gVo8WkLWrZsyWeffYajo2O2kud//vmHFi1a4O3tLcsyinwjP9xb5IdrFCIvkqRbx8gPy1fkcxAiezQaDbdv337VC37sGP94evIsOhpTQ0Nqm5lT39SUj83MqGRqgkUWelS1rVVIMKVKl+Ls999pO5Rcdf/5c0r/MIXezt/ToGIr4hJjCH0SQNgTf0KfBHA3MpCYuCiMjYxp2LAhLV1eJdm1a9d+r6WQUlJS+OijjxgwYIAMMRf5Rn64t8gP1yhEXiRJt46RH5avyOcgxPtRq9X4+fm96gU/epRTJ08Sl5CAAihrbk4lQyWVTU2oYmpKJRNTrHJpLdt31Tw4iGrlHTk6ZrS2Q8k1LxMS8Lv/gOaLl1HIshgGhgrCn90DoGCBgtSrX48GDRrQsGFDmjRpgrm5eY6ef+jQoRw9epTg4GAZYi7yhfxwb5EfrlGIvEiSbh0jPyxfkc9BiJyVnJyMv78/ly5dwtfXl4ve3vj5+RH/7xI3dubmVDZUUt7EmPLGJlQwMaGkkZHW1gpvHHSbplWrsm/4UK2cP6dFvnyJ3/37+N69x+V79/C9/4Bb4eFoNBoMDQ0pU9qOtu3aUL9+ferXr0/58uVzPRE+duwYLVu25NKlS9SqVStXzyVEXpAf7i3ywzUKkRfpX0lbPWdnZyc9Drz6HIQQOcfIyIjq1atTvXp1BgwYALwaYhwQEICvry+XLl3iko8PW65fJyoyEgAzpRJHExPKK5WUNzahvIkJ5YyNsVUqc33dcJVCgbkOrSGt0Wh4FhvL7ScRBEU8efXnkwhuR0YSFBHB85cvAbAwN+fjGjVw6daNiTVrUqtWLSpXroyRFiq1Ozs7Y2Njg5ubmyTdQgghxHuQnm4hhBBZptFoePjwIdevX0/drl6+jH9AQGqvuKFCQVFTU4obGlJMoaC40ojiSiXFjZSv/m6kxMbw/RLz+iFB9KhXn3V9vsqpS3tvGo2Gp7Gx3H7y5FVC/eQJQRERBEU+5faTJ0TFxqa2LV60KOXLl8exQgUcHR0pX7481apVo3z58u81FzunDRkyBC8vL27duiUPfIXes7e3JywsTNth5Co7OztCQ0O1HYYQ+Y4k3UIIId7qp59+wtbWltGjM55DrVKpuHPnDoGBgdy7d4/79+9z79497oWGcu/uXe4/fEhCUlJqe6VCQTFTU4oZGlJcoaDYv8l4CaURxZRKCisNsTAwxNzAAOMMkr26wUEMatKYpT2+yLVrBkhITuZZbCzPYuN4FhfL05exPI55QXj0Cx7HxPD4xQvCY17y+GUM4VHRxP374AGgRLFilK9QAcfy5VMTa0dHRxwdHbG0tMzVuHOKu7s7rVu35sqVK9SoUUPb4QghhBA6SZJuIYQQb2Vvb0/37t1ZsGDBO+2v0Wh4+vTp/yfjGSTmD8LDSfxPYv6aiaEhFkolFoaGmCsUWCoUXIuPx76IDXXK2GFipMRUqcREaYSpkRJTIyOUBgYkq1QkqVSv/kxJIVmlIlmlJkmV8u9rr95LVr9upyZJpSIuOelVkv3yZZok+jVDQ0OKFilCsWLFKF6iBMWKF6d48eIUK1aM0qVLU758eRwcHHQmsc5McnIyxYoVY8SIEcyaNUvb4QghhBA6SZJuIYQQmYqKiqJQoUJs3bqVr77KveHcGo2GiIgI7t27x7Nnz4iJiSEmJoYXL16k/v31FhAQgKmJCQYGBiQmJJCQkEBiYmLqnykpKRgZGWFkZISxsXH6vxsbv/r76z//876ZmRk2NjYULlw4w83GxgYDHVzb/F0NHDiQM2fOEBAQIEPMhV7LD8PLc4IMURci+6SQmhBCiEz5+fkB5PrwYoVCQdGiRSlatGiunud97N27lzp16lCmTBlth/LBdO/enY0bN3L9+nWqVaum7XCEyDVhYWFS2TsL5OGbENmXfx7VCyGEeCd+fn6YmJhQsWJFbYeidePGjcPV1VXbYXxQn376KQUKFMDNzU3boQghhBA6SZJuIYQQmbpy5QpVqlTRyrJVeU3hwoWJiIjQdhgflLGxMZ06dWL37t3aDkUIIYTQSZJ0CyGEyJSfnx8ff/yxtsPIE2xtbfNd0g2vhpj7+/tz8+ZNbYcihBBC6BxJuoUQQrxRcnIy169fl+Wi/pVfk+6WLVtibW0tvd1CCCHEO5CkWwghxBsFBgaSlJQkPd3/yq9Jt4mJCR07dpR53SLfefLkCUOHDqVMmTKYmJhQvHhxWrVqxblz51Lb2Nvbo1Ao0m1z584FIDQ0NMP3FQoF58+ff+O5O3bsSJkyZTA1NaVEiRL06dOHhw8fZhrvm87z3+Uex48fT+HChSlTpgw7duxIs/+uXbvo0KHDu3xUQohMSPVyIYQQb3TlyhUAqlevrt1A8ogiRYrky6QboFu3bmzdupWAgACcnJy0HY4QH0TXrl1JTk5m8+bNlCtXjsePH+Pp6cmzZ8/StJs5cyZDhgxJ85qVlVWar48dO0aVKlXSvGZjY/PGczdv3pzJkydTokQJHjx4wLfffku3bt04e/bsG/d59OhRmq8PHz7MoEGD6Nq1KwB///0327dvx8PDg9u3bzNgwABatmyJjY0NUVFRTJkyBU9Pzzd/IEKIdyJJtxBCiDfy8/PD3t6eggULajuUPMHW1panT5+iVqvz1VrdAK1atcLS0hI3Nzd+/PFHbYcjRK6Liori9OnTeHl50axZM+DVGtX16tVL19bKyorixYtnejwbG5u3tvmvcePGpf7dzs6OSZMm0blzZ5KTk99Y2PJ/j//nn3/SvHlzypUrB4C/vz/Ozs7UqVOHOnXqMHbsWEJCQrCxseH7779nxIgR+WpJRCE+lPx1x5AD3jSESLYPu9nb22v7n4IQ+cKVK1dkPvd/2Nraolaref78ubZD+eBMTU3p0KGDDDEX+YalpSWWlpbs37+fxMRErcby7Nkztm3bRsOGDbO8ksTjx485ePAggwYNSn2tRo0aXLx4kefPn3Pp0iXi4+NxdHTk9OnT+Pr6Mnr06Ny6BCHyNenpzqawsDA0Go22w8j3FAqFtkMQQu9pNBr8/PwYMWKEtkPJM2xtbQGIiIjIdFiovurWrRtdu3blp59+wszMTNvhCPHeunTp8sbpEkqlkk2bNjFkyBDWrFlDrVq1aNasGV9++WW6KTcTJ05MNwLkwIEDODs7p37dsGHDdCNkoqOjMTQ0fGN8EydOZMWKFcTFxdGgQQMOHDiQ5WvbvHkzVlZWdOnSJfW1Vq1a0bt3b+rWrYuZmRmbN2/GwsKC4cOHs2nTJlavXs3y5cspUqQIa9euTTccXgjxbhQaySCzRaFQSNKdB8j3QYjc9+jRIz766CP27t3L559/ru1w8oSAgAAqVarEyZMnadKkibbD+eDi4+P55JNP0s0bFUJX/fLLL6k9wW+6t0hISODUqVOcO3eOI0eO4O3tzfr16+nfvz/wahRk7969U79+rWTJkpiZmREaGkrZsmX566+/qFSpUpo2jo6OmcYXGRnJs2fPCAsLY8aMGRQoUIADBw5kqfPBycmJli1bsnz58kzbTZ8+nejoaAYMGICLiwvXrl3jwIEDrFixgkuXLqVrL/dgQmSfJN3ZJD9o8gb5PgiR+w4fPkzbtm0JCQmhbNmy2g4nT4iMjMTW1pY9e/ak6T0SQui+rN5bDB48mKNHjxIWFga8SrrHjh3L2LFjM2z/Oum+fPnye60Ecf/+fUqXLs3Zs2f55JNPMm176tQpmjZt+tYpQgEBAXTo0IHLly+zYcMGTp8+za5du4iNjcXS0pLo6Gisra3T7CP3YEJkn8zpFkIIkSE/Pz+sra2lhsJ/FC5cGAMDg3xbwVwIAZUrVyY2NvaDn/d1opuV+eWurq7Url0704Rbo9Hw9ddfs2jRIiwtLVGpVCQnJwOk/qlWq3MgciGEzOkWQgiRodc9JFJD4f8ZGBhgY2NDZGSktkMRQuSyp0+f0r17dwYOHEj16tWxsrLi4sWLzJ8/n06dOqVpGxMTQ3h4eJrXzM3N0/QSP336NF2bggULYmpqmu7c3t7eeHt707hxYwoVKkRISAhTp07FwcEhTS+3k5MTc+bMSTMF6MWLF+zevZtFixZlen3r1q2jaNGidOzYEYBGjRoxffp0zp8/z+HDh6lcubKsXCFEDpGe7hwSHh7OqFGjKFeuHCYmJpQuXZoOHTqkWevwdeXzHTt2pNu/SpUqKBQKNm3alOb1y5cv0717d4oVK4apqSkVKlRgyJAh3Lp1K7XNnj17qF+/PgUKFMDKyooqVaowYcKEDON0cXHB0NCQ8+fPZ+v6goKCsLKyyvIP34MHD1K/fn3MzMwoUqRImmGYz549o0OHDlhaWlKrVi38/PzS7DtixIi3/qIQQuQ+Pz8/qVyeAVtbW+npFiIfsLS0pH79+ixevJimTZtStWpVfvrpJ4YMGcKKFSvStJ06dSolSpRIs33//fdp2nz22Wfp2uzfvz/Dc5uZmbF3714+/fRTKlasyMCBA6latSonTpzAxMQktV1gYCDR0dFp9t2xYwcajYaePXu+8doeP37ML7/8wrJly1Jfq1evHhMmTKBdu3bs2rWLjRs3ZvWjEkK8hczpzqaM5rGEhobSqFEjChYsyIwZM6hevTrJycm4u7uzdu1aAgICgFdJt1qtplKlSri7u6fuf/78edq1a0diYiIrVqxILcRx4MABunbtSqtWrRg9ejQODg48efKE3bt3c+/ePXbu3MmxY8do06YNv/zyCx07dkShUHDz5k08PT3TFc64e/cuVapUYeDAgcTFxbFu3bosXXNycjINGzbE1taWs2fPEhUVlWn7PXv2MGTIEH755RdatGiBRqPh2rVrdOvWDYAJEyZw6dIl1q5dy+rVqzl9+jQ+Pj4AnDt3jlGjRnHhwoVMq3nKfCIhcldcXBxWVlasXbs2zXIzApydnSlZsiTbtm3TdihCiBwk9xZZI5+TENknSXc2ZfSDpm3btly9epXAwEAsLCzSvBcVFZXaO2xvb0/Pnj1ZvHgxt2/fpnTp0gB8/fXXmJqasmXLFpYsWUL//v2Ji4vDzs6Oxo0bs2/fvnRxvD7u2LFj8fPz459//nlr7DNmzCAgIIBp06ZRr149Hj16lC7ejEycOJGHDx/y6aefMnbs2EyT7pSUFOzt7ZkxY8Ybb9Tbtm1Lx44dGTZsGP7+/tSpU4fY2FiSk5OpW7cu69evp06dOpnGJD/whchd3t7e1K9fHx8fn7f+f8xvunfvTnR0NB4eHtoORQiRg+TeImvkcxIi+2R4+Xt69uwZR44cYeTIkRkmsP87HLtYsWK0atWKzZs3A696k3bu3MnAgQPTtHN3dycyMjLd0KT/PW7x4sW5ceMG169fzzROjUbDxo0b6d27N05OTlSoUIFdu3a99fqOHz/O7t27Wbly5VvbAvj6+vLgwQMMDAyoWbMmJUqUoE2bNty4cSO1TY0aNTh+/DgpKSm4u7unrnU5b948nJ2d5QZfiDzgypUrGBoayhqtGShSpIgMLxdCCCFElkkhtfcUFBSERqPByckpy/sMHDiQCRMmMGXKFNzc3HBwcEi3hMTt27cB3nrcUaNGcerUKapVq4adnR0NGjTAxcWFr776Ks2cn2PHjhEXF0erVq0A6N27N66urgwYMOCNx3769Cn9+/dn69at6ZaLeJOQkBDg1ZqPv/76K/b29ixatIhmzZpx69YtChcuzKRJkxg+fDgODg7Y29vj6urK7du32bJlC+fOnWPYsGF4eHhQp04d1q1bR4ECBTKN8fDhw1mKTQiRdfv376dixYqYmZlpO5Q8R+Z0CyGEECI7JOl+T6+H12Snum+7du0YOnQoJ0+eZMOGDel6uf973LexsLDg4MGDBAcH888//3D+/HkmTJjA0qVLOXfuHObm5sCrpSN69OiBUvnqW96zZ0++++47AgMDqVixYobHHjJkCL169aJp06ZZvrbXS0tMmTKFrl27ArBx40ZKlSrF7t27GTp0KAUKFGD79u1p9mvRogULFixg27ZthISEEBgYyJAhQ5g5c2amRdX27NnD0KFDsxyfECLrRo0ape0Q8iRbW1siIyPRaDRS2V0IIYQQbyVJ93sqX748CoUCf39/OnfunKV9lEolffr0Ydq0aVy4cCHDOdsVKlQAICAgIM3SEG/i4OCAg4MDgwcPZsqUKVSoUIGdO3cyYMAAnj17xv79+0lOTmb16tWp+6hUKjZs2MC8efMyPObx48f566+/WLhwIfDqQYBarUapVLJ27doMHxaUKFECeLWG5WsmJiaUK1eOu3fvZnieDRs2ULBgQTp16kSXLl3o3LkzRkZGdO/enalTp2Z63V9//TV9+/bN/MMRQryT/46WEf/P1taWxMREXr58iZWVlbbDEUIIIUQeJ0n3eypcuDCtWrVi5cqVjB49OtNCav81cOBAFi5cSI8ePShUqFC6911cXChSpAjz58/PtJBaRuzt7TE3Nyc2NhaAbdu2UapUqXTLUnh6ejJnzhxmz56d2gP+X+fOnUOlUqV+/eeffzJv3jzOnj1LyZIlMzx37dq1MTExITAwkMaNGwOvqp+HhoZiZ2eXrn1ERAQ///wzp0+fBl49CEhOTk7d77/nf5OM1rcUQojcYmtrC7z6+SVJtxD6w8TEREavZEFG93NCiMxJ0p0DVq1aRcOGDalXrx4zZ86kevXqpKSkcPToUVavXo2/v3+6fSpVqkRkZGTq8O//ZWFhwfr16+nevTsdO3Zk9OjRODo6EhkZya5du7h79y47duxg+vTpxMXF0bZtW+zs7IiKimLZsmUkJyfTsmVL4NXQ8m7dulG1atU057Czs2PixIkcPHiQTp06ZRjjf128eBEDA4M0x/H29qZv3754enpSsmRJrK2tGTZsGNOmTaN06dLY2dmxYMEC4FXF3/81ZswYJkyYkJrEN2rUiN9//x0XFxfWrl1Lo0aNMvvohRDig3uddA8YMCDTmhNCiLzvm2++wcXFBYDExMR00/te17Z5/YA/NjaWEiVKcODAAWrVqpXa7vbt21SpUoWHDx9SpEgR9u/fz+jRowkNDcXAIPO6xT179uTPP/8kPj6eDh06sGvXrkw7FKKjo+nRowfu7u4olUrMzc1xc3NLve9LTk5m7NixHDp0iCJFirB48WIqV65M3bp1+eeff1i7di07duzAwcGBDRs2ZNiRIhXKhchZUr08B5QtWxZfX1+aN2/OhAkTqFq1Ki1btsTT0zPNcO7/ZWNjk2mRok6dOnH27FmMjIzo1asXTk5O9OzZk+joaGbNmgVAs2bNCAkJoW/fvjg5OdGmTRvCw8Px8PCgYsWKXLp0CT8/v9T51f9lZWWFi4sLrq6u73ztcXFxBAYGpvZOAyxYsIAvv/ySPn36ULduXcLCwjh+/Hi6Hn13d3eCg4MZMWJE6mvffPMN5cqVo379+iQlJTFt2rR3jk0IIXJDxYoV6du3ryTcQuQTzZs358qVK1y5coULFy7g4uJCmzZtCAsLS23j6upKq1atKFKkCPBqedTY2FiOHTv21uMvXrwYX19f9u/fT3BwMOPHj8+0/Y8//sjz5885duwYFy9eZPz48XTv3p1r164BYGRkxMqVK7lz5w4+Pj40btyY8ePHM3r0aK5cucL+/fvx8/OjQYMGjB49+j0+GSFEVsk63dkkT/7yBvk+CCGEECInZXRv0b9/f6KiotJM0VOpVBQoUICxY8cya9YsVCoVpUuXJjw8PE2vtkql4osvvmDnzp1ZjuH06dM0adKEhw8fptbJ+a/g4GAcHR25fv16miUdP/vsMxwdHVmzZk26fY4fP86kSZM4d+4c3333HUqlkvnz53Pjxg2aNm3K06dPs/RZCCHenQwvF0IIIYQQIosUCgUGBgbEx8cDcOjQIWJiYrh8+TKGhoap7QICAvjqq694+vQpNjY2WTr260Q3MTExw/fj4uIA0g1ZNzQ0TF1B5r8SEhIYOXIk27dvx9DQEJVKlXqOrNbOEUK8PxleLoQQQgghxBskJiYSHh5OeHg4/v7+jBo1ipcvX9KhQwfg1dDydu3aUaNGDapWrZq6de3aFVtbW7Zu3ZrhcQ8dOsTGjRu5fv06oaGhHDp0iOHDh9OoUSPs7e0BePDgAU5OTnh7ewPg5OSEo6MjQ4cOxdvbm+DgYBYtWsTRo0czXEVn5syZtGvXjpo1awKvaufs3buXq1evsmLFCqmdI8QHIj3dQgghhBBCvMGRI0dSh3pbWVnh5OTE7t27cXZ25vHjxxw8eJDt27en20+hUNClSxdcXV0ZM2ZMuvfNzMxYt24d48aNIzExkdKlS9OlSxcmTZqU2iY5OZnAwMDUHm4jIyMOHTrEpEmT6NChAy9fvsTR0ZHNmzfTtm3bNMe/fv06u3fv5sqVK6mvdevWDS8vL5o0aULFihUzjFsIkfNkTnc2yRyXvEG+D0IIIYTISXJv8f/ksxAiZ8nwciGEEEIIIYQQIpdI0i2EEEIIIYQQQuQSmdOdTXZ2digUCm2Hke/Z2dlpOwQhhBBCCCGEeCuZ0y2EEEIIIfI9mcf8/+SzECJnyfByIYQQQgghhBAil8jwciGEEEIIke/JFML/J9P4hMhZMrxcCCGEEEIIIYTIJTK8XAghhBBCCCGEyCWSdAshhBBCCCGEELlEkm4hhBBCCCGEECKXSNIthBBCCCGEEELkkv8Dm99QFaqKUkQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w,\n",
    "                 title='Min Higher L-moment OWA Risk Measure',\n",
    "                 others=0.05,\n",
    "                 nrow=25,\n",
    "                 cmap=\"tab20\",\n",
    "                 height=6,\n",
    "                 width=10,\n",
    "                 ax=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
